Radar Landscapes Computer Vision Landscape of the United States
Computer Vision industry in the United States — illustrated cover for the Computer Vision Landscape of the United States
Radar · Industry landscape · the United States

Computer Vision Landscape of the United States

1,290 Computer Vision companies in the United States, in one picture: who is hiring, who is raising money, who founded them, where they are based, what the news is about, which skills employers want and where the research is going. Updated August 2026.

1,290companies tracked
$25.8Bdisclosed funding
103hiring right now
674events · 24 months
≥1,328,687news articles · 12 months

Who leads Computer Vision in the United States

Shows 1,290 tracked companies, highlighting which are currently hiring, which have disclosed funding, and the top firms in hiring and financing.

open roles
Hiring now
ranked by live open roles
  1. 01DENSO11last posted Jun 2026
  2. 02Anduril11last posted Jun 2026
  3. 03Early Warning11last posted Jun 2026
  4. 04Jumio10last posted Aug 2026
  5. 05Fidelity10last posted May 2026
  6. 06SafelyYou10last posted Jun 2026
  7. 07Netradyne9last posted Aug 2026
  8. 08Skydio9last posted Jun 2026
103 companies hiring · 7 posted in the last 30 days
disclosed funding
Most funded
disclosed totals, all rounds
  1. 01Anduril$11.3BSeries H · May 2026
  2. 02Metropolis$1.9BSeries D · Nov 2025
  3. 03Pony.ai$1.3BPost IPO · Dec 2024
  4. 04Skydio$825MSeries F · Apr 2026
  5. 05Tempo$397.5MSeries C · Apr 2021
  6. 06Netradyne$362.2MSeries D · Jan 2025
  7. 07Eyeris$350MSeries D · Sep 2018
  8. 08Quavo$311MPE · Jul 2025
448 companies with disclosed rounds · $25.8B total
revenue
Revenue leaders
official filings first, else latest snapshot
  1. 01Ambarella$390.7MFY2025 filing
  2. 02Duostech$27MFY2024 filing
  3. 03SISA Information Security$19.7Msnapshot Mar 2025
  4. 04Rank One Computing$17MFY2025 filing
  5. 05Cloudastructure$5.1MFY2025 filing
  6. 06Quanergy Com$2.3MFY2022 filing
  7. 07Wobot$1.6Msnapshot Mar 2025
  8. 08Koi Reader$881ksnapshot Mar 2025
13 companies with a revenue figure
headcount
Largest teams
ranked by tracked headcount
  1. 01Anduril2,193tracked employees
  2. 02Early Warning1,022tracked employees
  3. 03Pony.ai539tracked employees
  4. 04SISA Information Security400tracked employees
  5. 05Skydio332tracked employees
  6. 06Incode317tracked employees
  7. 07Tempo246tracked employees
  8. 08Netradyne245tracked employees
120 companies with headcount data
share of events
Share of voice
share of all tracked sector news events, 24 months
  1. 01Anduril11.4%123 tracked events
  2. 02ZoOm8.1%87 tracked events
  3. 03Ambarella7.2%78 tracked events
  4. 04Pony.ai6.4%69 tracked events
  5. 05Netradyne6.2%67 tracked events
  6. 06Cyngn Technologies3.7%40 tracked events
  7. 07Esker3.6%39 tracked events
  8. 08Duostech2.6%28 tracked events
1,079 tracked events across 123 companies
web reach
Most-used apps
the sites in this sector the web visits most
  1. 01DeepAItop 50kdeepai.org
  2. 02Afternictop 50kafternic.com
  3. 03Metropolistop 50kmetropolis.io
  4. 04Roboflowtop 100kroboflow.com
  5. 05Netradynetop 100knetradyne.com
  6. 06IPQualityScoretop 100kipqualityscore.com
  7. 07Skydiotop 500kskydio.com
  8. 08Anduriltop 500kanduril.com
347 companies here run a site with a measured audience · 34 of them sit inside the web’s top million
articles
In the news
Prism news coverage, last 12 months
  1. 01Anduril≥674articles in the window
  2. 02ETC≥535articles in the window
  3. 03Quavo≥303articles in the window
  4. 04G2≥181articles in the window
  5. 05Skydio≥137articles in the window
  6. 06Pony.ai≥74articles in the window
  7. 07Ambarella≥61articles in the window
  8. 08Clarifai≥35articles in the window
125 of these companies drew sector coverage in the window
Radar

See all 1,290 Computer Vision companies in the United States

Filter by funding, headcount, hiring and location, and export the list.

How the Computer Vision ecosystem in the United States grew, 2016–2025

Shows the number of companies founded each year, with a peak of 110 new firms in 2017 and 21 in 2025.

Companies founded / year
new Computer Vision companies in the United States
2016: 752017: 1102018: 962019: 1072020: 982021: 542022: 462023: 352024: 322025: 21
20162025
peak 110 in 2017
Companies raising / year
with a disclosed round that year
20162025
peak 91 in 2021
Disclosed funding / year
sum of disclosed rounds (USD)
2016: 332,055,7932017: 513,167,1022018: 1,118,601,4092019: 688,322,1732020: 1,822,816,6922021: 2,683,524,7652022: 3,116,538,0852023: 609,801,2112024: 2,387,987,2592025: 5,064,453,739
20162025
peak $5.1B in 2025

Where Computer Vision companies in the United States are based

Lists the cities with the most companies, led by San Francisco (97) and New York City (87).

San Francisco skyline — Computer Vision hub in the United States
Hub 01
San Francisco
97 Computer Vision companies
26% of the Computer Vision companies across these hubs
97companies
$1.9Bdisclosed funding
10hiring now
Photo Wikipedia · San Francisco · CC BY-SA 4.0
New York City skyline — Computer Vision hub in the United States
Hub 02
New York City
87 Computer Vision companies
23% of the Computer Vision companies across these hubs
87companies
$873.7Mdisclosed funding
4hiring now
Photo Wikipedia · New York City · CC BY-SA 4.0
Austin, a Computer Vision hub in the United States
Hub 03
Austin
39 Computer Vision companies
10% of the Computer Vision companies across these hubs
39companies
$144.4Mdisclosed funding
1hiring now
generated artwork
San Jose, a Computer Vision hub in the United States
Hub 04
San Jose
38 Computer Vision companies
10% of the Computer Vision companies across these hubs
38companies
$305.4Mdisclosed funding
5hiring now
generated artwork
Palo Alto, a Computer Vision hub in the United States
Hub 05
Palo Alto
35 Computer Vision companies
9% of the Computer Vision companies across these hubs
35companies
$725.6Mdisclosed funding
4hiring now
generated artwork
San Diego skyline — Computer Vision hub in the United States
Hub 06
San Diego
28 Computer Vision companies
8% of the Computer Vision companies across these hubs
28companies
$524.2Mdisclosed funding
3hiring now
Photo Wikipedia · San Diego · CC BY-SA 4.0
Los Angeles skyline — Computer Vision hub in the United States
Hub 07
Los Angeles
27 Computer Vision companies
7% of the Computer Vision companies across these hubs
27companies
$28.5Mdisclosed funding
1hiring now
Photo Wikipedia · Los Angeles · CC BY-SA 4.0
Mountain View, a Computer Vision hub in the United States
Hub 08
Mountain View
21 Computer Vision companies
6% of the Computer Vision companies across these hubs
21companies
$780.2Mdisclosed funding
generated artwork

The Computer Vision market map of the United States: what these companies actually do

Breaks down product sub‑categories and revenue models, noting enterprise tech (1,199) and subscription pricing (1,131) as the largest groups.

  • Enterprise Tech1,199 companies · $25.3B raised · 98 hiring
  • Enterprise Software772 companies · $7.9B raised · 63 hiring
  • Deep Tech635 companies · $22.9B raised · 66 hiring
  • Artificial Intelligence569 companies · $19.9B raised · 67 hiring
  • SaaS460 companies · $4.7B raised · 42 hiring
  • Fintech452 companies · $2.9B raised · 33 hiring
  • Biometric Access Control422 companies · $2.2B raised · 24 hiring
  • Video Surveillance393 companies · $3.5B raised · 23 hiring
  • Identity Access Management320 companies · $1.5B raised · 16 hiring
  • Biometric Authentication291 companies · $1.1B raised · 11 hiring
  • AI as a Service233 companies · $3.1B raised · 32 hiring
  • Consumer Digital227 companies · $1.7B raised · 10 hiring

Monetization

How Computer Vision companies make money

How many companies earn revenue each way. Plenty use more than one model, so the counts add up to more than the sector.

Subscription1,131
Fee-For-Service80
Physical Commerce64
Commission on Transaction59
E-Commerce - Product58
Advertising40
E-Commerce - Service32
Licensing10

Funding, M&A and the deals moving Computer Vision in the United States

Counts 674 corporate events over the past 24 months, including 127 funding rounds and 125 key‑person announcements.

Funding 127Leadership 125Earnings 99Announcement 72Product 71M&A 50Contracts 39IPO 21Jobs 20Capital 11
  • M&Atoday announced the acquisition of Moove Connected Mobility2026-05-05
  • FundingSkydio has raised $110 million in Series F financing, led by existing investors, bringing the company’s valuation to $4.4 billion.2026-04-28
  • M&AViant Technology Inc., a leader in CTV and AI‑powered programmatic advertising, announced it has entered into a definitive agreement to acquire TVision Insights, the only attention measurement provider delivering second‑by‑second, eyes‑on‑screen attention, co‑viewership and in‑room presence for TV.2026-04-15
  • FundingBoulder Imaging has received a growth investment from Lime Rock New Energy.2026-04-14
  • FundingAlcatraz AI has now raised a total of $78.1M in total equity funding and is backed by Almaz Capital, BlackPeak Capital, Cogito Capital Partners, EBRD Venture Capital, and Ray Stata.2026-04-06
  • FundingThe round follows a $3M pre-seed led by Upfront Ventures and Betaworks in early 2024.2026-04-03
  • M&AAnduril Industries said it has agreed to acquire ExoAnalytic Solutions, a Foothill Ranch-based national security company focused on space domain awareness and missile defense.2026-03-11
  • FundingDuos Technologies Group, Inc. (Nasdaq: DUOT) today announced it has closed its underwritten public offering of 8,666,666 shares of common stock for total gross proceeds of approximately $65 million.2026-03-03
  • M&ACesiumAstro announced Thursday that it had acquired Vidrovr2026-02-26
  • M&AElectric trucking startup Harbinger has acquired autonomous driving software company Phantom AI, in an effort to vertically integrate more technology and create new revenue streams for the young company.2026-02-25

Mergers and acquisitions

Deals from the last 24 months where a Computer Vision company in the United States was the buyer or the one bought, newest first. “Undisclosed” means the price was never published — not that the deal was worth nothing.

AcquirerTargetDeal valueStatusDate
Netradynemoove connected mobilityundisclosedAnnounced2026-05-05
Viant TechnologyTVision Insights$40MAnnounced2026-04-18
Andurilexoanalytic solutionsundisclosedAnnounced2026-03-13
harbingerPhantomundisclosedCompleted2026-02-28
cesiumastroVidRovrundisclosedAnnounced2026-02-26
logicalisNetarx$34MAnnounced2026-02-10

Who is listing, hiring leaders, launching and winning work

Details notable events such as IPO filings, leadership changes, product launches, and contract wins.

IPO pipeline
7 companies listed or filing · last 24 months
  • DuostechIPO · Nasdaq · DUOT · 2 reportsFeb 2026
  • Pony.aiIPO · Hong Kong · 2026.HK · 16 reportsJan 2026
  • Rank One ComputingIPO · Nasdaq · ROC · 3 reportsJan 2026
  • ZoOmIPO · 1 reportDec 2025
  • AndurilIPO · 1 reportJun 2025
  • EskerIPO · Paris Stock Exchange · 2 reportsMar 2025
  • CloudastructureDirect Listing · Nasdaq Capital Market · CSAI · 1 reportFeb 2025
Leadership moves
41 tracked people moves · last 12 months
  • KinoTekDr. Darin Padua · Appointment → Scientific AdvisorMay 2026
  • KinoTekDr. Mark Sakr · Appointment → Scientific AdvisorMay 2026
  • JumioMark · Appointment — was Chief Executive OfficerApr 2026
  • JumioMark Lorion · Appointment → Chief Executive OfficerApr 2026
  • ZoOmFrank Skiffington · Appointment → Head of Australia and New ZealandApr 2026
  • CertifIDJosh Linn · Appointment → Chief Product OfficerApr 2026
  • CertifIDLiz Conn · Appointment → Chief Marketing OfficerApr 2026
  • ZoOmRussell Dicker · Appointment → Chief Product OfficerApr 2026
Product launches
tracked launches · last 12 months
  • Pony.aifourth‑generation L4 autonomous heavy truck (Heavy truck)Apr 2026
  • Pony.aiL4 autonomous light truck (Light truck)Apr 2026
  • Jumioselfie.DONE (Reusable digital identity platform)Apr 2026
  • IncogniaIncognia Device and Location IntelligenceApr 2026
  • StarComplianceautomated FINRA data push functionalityMar 2026
  • StarComplianceBroker-Dealer Registration solution (Compliance technology / Registration workflow)Mar 2026
  • EPICCuriosity (Medical Foundation Model)Mar 2026
  • EPICAgent Factory (AI Agent Creation)Mar 2026
Contract wins
27 customer wins · last 24 months
Workforce actions
4 companies cutting roles · last 24 months
  • EPIC~1,000 roles reportedMar 2026
  • GeoX~115 roles reported · cost reductionSep 2025
  • ZoOm~1,300 roles reported · economic uncertaintyAug 2025
  • Kountscale undisclosedJan 2025
Regulatory & litigation
6 regulatory events · 6 tracked suits · 24 months
  • Pony.aiapproved for by-invite rides in Singapore — Singapore’s Land Transport AuthorityApr 2026
  • IntelliVisionapproved — Nigerian Communications Commission (NCC)Jan 2026
  • Pony.aiapproved for secondary listing — China Securities Regulatory Commission (CSRC)Oct 2025
  • Pony.aiapproved for listing in Hong Kong — China Securities Regulatory CommissionOct 2025
  • hayden ai v Chris Carsonproprietary information theft · FiledMar 2026
  • epic v googleapp store antitrust dispute · SettledMar 2026
Earnings pulse
companies reporting results · last 24 months
11 companies reporting95 company-quarters trackedbeat 33miss 1in line 2

Half of these companies grew revenue faster than +49.9%, half slower.

Who is building Computer Vision in the United States

Profiles 970 founders and CEOs across 657 firms, with Stanford (47) and MIT (21) as the most common alma maters and Google (20) as the top prior employer.

Founders and chief executives12 of 970, from the best-funded companies on this page
Trae Stephens
Co-Founder
Trae Stephens
repeat founder

Co-Founder Pursuit, Sol, ex-Palantir Technologies. Georgetown University BS 2005

Peter Fisher
Co-Founder & CCO
Peter Fisher

Ex-Global Airtech, Transamerica Investment Management, HDFC Securities · Boston College BA 2003

James Peng
Co-Founder & CEO
James Peng

Ex-Baidu, Google · Tsinghua University BS 1996, University at Buffalo MS 1998, Stanford University PhD 2002

Abraham Bachrach
Co-Founder & CTO
Abraham Bachrach

Ex-Google, Convexus Advisors. University of California, Berkeley BS 2005, MIT MS 2009, PhD 2012

Moawia Eldeeb
Co-Founder & CEO
Moawia Eldeeb

Ex-Columbia Engineering, Pursuit. Columbia University BS 2015, Queens College BA 2013

David Julian
Co-Founder & CTO
David Julian

Ex-Co-Founder-Mountain View Analytics, Qualcomm, Jet Propulsion Laboratory · New Mexico State University 1996, Stanford University PhD 2003

Modar Alaoui
Founder & CEO
Modar Alaoui

The Khronos Group, Veylinx. Concordia University 2004

Richard Jefferson
Co-Founder | EVP | BOD
Richard Jefferson

Quavo Fraud And Disputes, ex-Quavo, ex-Pegasystems, University of Vermont, 1979

Spencer Hewett
Founder & CEO
Spencer Hewett

The Thiel Foundation, Ex-Co-Founder BazaarBoy, Frigid Computer. Washington University in St Louis BS 2014

Ricardo Amper
Founder & CEO
Ricardo Amper

Ex-Brenntag Group, Grupo Amco, Amco Foods. Autonomous Technological Institute of Mexico BBA 2003

Angie Westbrock
CEO
Angie Westbrock

Ex-Chief, Lyft, Habit, HelloFresh. University of Dayton 2002

Jamie Blake
Co-Founder
Jamie Blake

OpenKinect, ex-Information Strategies, Manning Publications, Co-Founder Immerge Technologies. James Madison University BS 2005

Where the founders studied
alma mater on record for 216 of 970 founders
Stanford University47
Massachusetts Institute of Technology21
University of California (Berkeley)16
Cornell University14
Columbia University12
Harvard University12
Carnegie Mellon University10
University of Pennsylvania10
Where they worked before
a previous employer on record for 67 of 970 founders
Google20
Microsoft15
Amazon6
Paypal5
Apple5
Facebook5
Intel3
Cisco3
Founders flagged as repeat founders
of 871 founders with a profile on this page
12
carry a repeat-founder flag
  • flagged as repeat founders12
  • no repeat-founder flag859
Radar

Look up the people behind Computer Vision companies in the United States

Search founders, executives and operators by company, role and location.

Who funds Computer Vision in the United States

Records 1,026 funding rounds since 2016 from 1,233 investors, with a typical round size of $3 million.

Investor · most active investors since 2016RoundsLedLatest
Y Combinator5119Mar 2026
Andreessen Horowitz248May 2026
Techstars2111Nov 2023
National Science Foundation17Mar 2025
New Enterprise Associates1610Jul 2022
Founders Fund145Jun 2025
Alchemist Accelerator108Nov 2022
Bessemer Venture Partners105Nov 2024
Plug and Play Tech Center105Sep 2025
America’s Seed Fund10Jan 2024
Stage mix · rounds since 2016
Seed & Angel425
Series A–B340
Series C+ / PE72
Grants, debt & other189

The typical round is $3M — half were bigger, half smaller.

The biggest Computer Vision funding rounds in the United States

Highlights the largest disclosed round—Anduril’s $5 billion Series H—and lists ten other large recent rounds.

CompanyRoundSizeWhenBackers
AndurilSeries Hmega-round$5BMay 2026Thrive Capital, Andreessen Horowitz
AndurilSeries Gmega-round$2.5BJun 2025Founders Fund
AndurilSeries Fmega-round$1.5BAug 2024Founders Fund, Sands Capital, Fidelity Investments +4 more
AndurilSeries Emega-round$1.5BDec 2022Peter Thiel, Valor Equity Partners, Founders Fund +14 more
MetropolisSeries Dmega-round$500MNov 2025LionTree, BDT & MSD Partners, DFJ Growth +5 more
Pony.aiSeries Bmega-round$462MFeb 2020Toyota Motor
AndurilSeries Dmega-round$450MJun 2021Elad Gil, Andreessen Horowitz, 8VC +5 more
Pony.aiSeries Cmega-round$267MNov 2020Ontario Teachers' Pension Plan, 5Y Capital, ClearVue Partners +2 more
Berkshire GreySeries Bmega-round$263MJan 2020Canaan, Khosla Ventures, New Enterprise Associates +1 more
EyerisSeries Dmega-round$250MSep 2018
Venture round sizes · 2023–2025
<$1M32
$1–10M77
$10–50M41
$50–250M8
>$250M3

161 venture rounds with a disclosed amount in the window.

Fresh cheques · last 6 months

What the news says about Computer Vision in the United States

Indexes 1,328,687 news articles from the last year, most often covering administrative, geopolitical, and international political topics.

News volume
Computer Vision coverage across United States · articles per quarter
2021Q2: 281,7972021Q3: 298,2852021Q4: 282,0822022Q1: 306,9522022Q2: 301,6122022Q3: 308,9122022Q4: 343,6422023Q1: 361,4132023Q2: 369,4162023Q3: 327,9102023Q4: 308,1982024Q1: 323,6142024Q2: 313,4392024Q3: 311,5072024Q4: 323,0582025Q1: 483,9632025Q2: 334,4642025Q3: 762,0452025Q4: 180,2022026Q1: 253,2932026Q2: 133,147
2021Q22026Q2
peak ≥762,045 in 2025Q3 · ≥1,328,687 articles in the last 12 tracked months
Tone of coverage
share of articles by dominant sentiment (positive / neutral / negative)
202120232025
Positive-tone share moved 24% → 26%, negative 19% → 27% across 2021–2025.

What the coverage is about

The subjects that dominate Computer Vision news in United States. The arrow shows whether each one is being written about more or less than a year ago.

  • Administrative and political subdivisions≥4,337,110▲+17%
  • Geopolitical disputes and contested areas≥320,406▲+30%
  • International and transnational geographic entities≥320,246▲+30%
  • International political relations≥197,896→+4%
  • Security and defense policies≥140,837▲+19%
  • International relations and diplomacy≥90,150→-10%
  • Geographic naming conventions and etymology≥81,727▲+380%
  • Trade policies and agreements≥73,141▼-26%
  • Human rights advocacy reports≥67,136▼-27%
  • Political asylum and refugee policies≥54,398▼-31%
Most-covered companies · last 12 months

125 Computer Vision companies here were named in the news over this period.

Prism

Watch Computer Vision coverage in United States as it happens

Prism follows these subjects story by story — which companies are named, what is said about them and how the tone moves.

Momentum

The words getting louder — and quieter

Which terms are showing up in more stories than a year ago, and which are fading. The percentage is the change in how many articles mention them.

responsible ai+45%countries+119%etf trading+140%oil price volatility+128%etfs+146%sector etfs+144%etf products+149%etf structures+153%stablecoin fx impact+44%export sanctions+187%
tariff negotiations-39%stock performance-34%free trade deals-36%stock price-41%trade enforcement-38%

The pressures the press keeps returning to

Three recurring angles in United States Computer Vision coverage, and whether each is getting more attention year on year (through 2025).

Regulatory Risk ▲ rising
≥1,693,606 articles touch this dimension · 40.8% critical tone
20212025
signals: territories, disputed islands, tariff negotiations
Funding Momentum ▲ rising
≥289,168 articles touch this dimension · 44.1% critical tone
20212025
signals: investment deal, inflation reports fx, currency intervention policies
Growth ▲ rising
≥421,484 articles touch this dimension · 35.9% critical tone
20212025
signals: earnings report, quarterly results, quarterly financials

Computer Vision jobs in the United States: who is hiring and what they ask for

Aggregates 3,844 job postings from 148 employers, with median advertised salary of $129 k and top skills including Python and AWS.

3,844postings · last 12 months
4,818postings tracked overall
148employers advertising
$129kmedian advertised salary/yr (n=690)

Demand

The Skills Employers Ask For

What Computer Vision employers in the United States put in their job ads. The bar is how many postings ask for it; the arrow shows whether demand grew or shrank against the year before.

  • python68
  • aws62
  • computer vision45
  • typescript38
  • erp37
  • react30
  • c++29
  • sql26
  • kubernetes25
  • excel23
What level are these roles?
Entry19
Intern71
Senior878
Lead201
Manager867
What they pay, by level
  • Senior$146k/yr (n=184)
  • Manager$134k/yr (n=156)
  • Lead$166k/yr (n=33)
Most advertised titles
  • Senior Software Engineer31
  • Recruiting Coordinator (Contractor)24
  • Registered Nurse - Relocate To New Mexico - Assistance May Be Available23
  • Cdi Query Writer22
  • Medical Director22
  • Customer Service Representative20

What Computer Vision research in the United States is working on

Counts 5,893 U.S.‑affiliated papers, of which 4,693 identify opportunities, 196 note common problems, and 147 issue cautions.

How this field talks about itself
United States-affiliated Computer Vision papers (gold) against all published research (grey)
Breakthrough58.3% · 26.3%2.2×
Promising21.4% · 37.2%0.6×
Descriptive10.9% · 17.5%0.6×
Comparative3.6% · 3.9%≈ par
Cautionary2.5% · 4.5%0.6×
Problem-identifying2.3% · 9.6%0.2×

United States-affiliated Computer Vision literature runs 2.2× more “breakthrough” than science at large (58.3% vs 26.3% baseline).

How the work is done
Methods-led72.6%
Empirical21.6%
Reviews4.5%
Position pieces0.8%
Theoretical0.6%
How the research reads

96% positive · 3% neutral · 1% negative, across 5,893 papers.

The institutions doing the work · United States
  • Google413k
  • University of California, Berkeley233k
  • Microsoft197k
  • Berkeley College144k
  • Stanford University116k
  • Cornell University113k

ranked by how often their work is cited

Leading researchers · United States-affiliated work

Ross Girshick · Kaiming He · Jian Sun · Trevor Darrell · Shaoqing Ren · Christian Szegedy · Geoffrey E. Hinton · Alex Krizhevsky

The most-cited breakthroughs
  • ImageNet classification with deep convolutional neural networks · 76k cites
  • Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks · 53k cites
  • Going deeper with convolutions · 46k cites
  • Densely Connected Convolutional Networks · 44k cites
  • Fully convolutional networks for semantic segmentation · 36k cites
Common problems researchers identify182 papers · 4 recurring themes
Deploying CNNs in Medical Imaging — Common problems researchers identify
Problems · theme 01
Deploying CNNs in Medical Imaging
57 papers · 31.3% of this block
2022: 1,005 of every 10,000 papers on this subject2023: 954 of every 10,000 papers on this subject2024: 632 of every 10,000 papers on this subject2025: 870 of every 10,000 papers on this subject2022: 1,005 of every 10,000 papers on this subject2023: 954 of every 10,000 papers on this subject2024: 632 of every 10,000 papers on this subject2025: 870 of every 10,000 papers on this subject▼ -13% share2022→2025 share of research on this subject
Researchers highlight challenges in interpreting and generalizing convolutional models for clinical computer vision tasks.
Convolutional neural network · Software deployment · Interpretability · Generalization
“Deep learning-enabled medical computer vision”
57 of these papers raise it as a problem
Noise and Perception in Imaging — Common problems researchers identify
Problems · theme 02
Noise and Perception in Imaging
54 papers · 29.7% of this block
2022: 2,190 of every 10,000 papers on this subject2023: 2,176 of every 10,000 papers on this subject2024: 2,280 of every 10,000 papers on this subject2025: 2,426 of every 10,000 papers on this subject2022: 2,190 of every 10,000 papers on this subject2023: 2,176 of every 10,000 papers on this subject2024: 2,280 of every 10,000 papers on this subject2025: 2,426 of every 10,000 papers on this subject▲ +11% share2022→2025 share of research on this subject
Papers discuss how sensor noise and perceptual limits affect optical image analysis and gradient estimation.
Perception · Noise · Optical imaging · Image
“Spatial Image Gradient Estimation From the Diffusion <scp>MRI</scp> Profile”
54 of these papers raise it as a problem
Object Tracking and Trajectory Analysis — Common problems researchers identify
Problems · theme 03
Object Tracking and Trajectory Analysis
48 papers · 26.4% of this block
2022: 145 of every 10,000 papers on this subject2023: 132 of every 10,000 papers on this subject2024: 78 of every 10,000 papers on this subject2025: 113 of every 10,000 papers on this subject2022: 145 of every 10,000 papers on this subject2023: 132 of every 10,000 papers on this subject2024: 78 of every 10,000 papers on this subject2025: 113 of every 10,000 papers on this subject▼ -22% share2022→2025 share of research on this subject
Works point out difficulties in reliable detection and motion prediction for pedestrians and urban traffic.
Object · Trajectory · Human motion · Bounding overwatch
“Pedestrian Detection: An Evaluation of the State of the Art”
48 of these papers raise it as a problem
Sampling Issues in Remote Sensing — Common problems researchers identify
Problems · theme 04
Sampling Issues in Remote Sensing
23 papers · 12.6% of this block
2022: 250 of every 10,000 papers on this subject2023: 272 of every 10,000 papers on this subject2024: 277 of every 10,000 papers on this subject2025: 151 of every 10,000 papers on this subject2022: 250 of every 10,000 papers on this subject2023: 272 of every 10,000 papers on this subject2024: 277 of every 10,000 papers on this subject2025: 151 of every 10,000 papers on this subject▼ -40% share2022→2025 share of research on this subject
Studies raise concerns about data collection methods and representativeness in satellite and wildlife imaging.
Sampling · Sample · Remote sensing · Satellite
“REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes”
23 of these papers raise it as a problem
Cautions143 papers · 4 recurring themes
Safety of Vision for Robotics — Cautions
Cautions · theme 01
Safety of Vision for Robotics
52 papers · 36.4% of this block
2022: 3,165 of every 10,000 papers on this subject2023: 3,140 of every 10,000 papers on this subject2024: 3,320 of every 10,000 papers on this subject2025: 3,263 of every 10,000 papers on this subject2022: 3,165 of every 10,000 papers on this subject2023: 3,140 of every 10,000 papers on this subject2024: 3,320 of every 10,000 papers on this subject2025: 3,263 of every 10,000 papers on this subject▲ +3% share2022→2025 share of research on this subject
Authors caution against fragile motion perception and adversarial attacks in autonomous and prosthetic visual systems.
Motion · Perception · Robot · Visual prosthesis
“Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems”
52 of these papers raise it as a problem
Interpretability of Deep Vision Models — Cautions
Cautions · theme 02
Interpretability of Deep Vision Models
49 papers · 34.3% of this block
2022: 1,468 of every 10,000 papers on this subject2023: 1,444 of every 10,000 papers on this subject2024: 1,238 of every 10,000 papers on this subject2025: 1,391 of every 10,000 papers on this subject2022: 1,468 of every 10,000 papers on this subject2023: 1,444 of every 10,000 papers on this subject2024: 1,238 of every 10,000 papers on this subject2025: 1,391 of every 10,000 papers on this subject▼ -5% share2022→2025 share of research on this subject
Works urge careful evaluation of CNN explanations and their reliability for ecological and pattern‑recognition tasks.
Convolutional neural network · Pattern recognition · Segmentation · Range
“Visual interpretability for deep learning: a survey”
49 of these papers raise it as a problem
Image Quality in Medical Scans — Cautions
Cautions · theme 03
Image Quality in Medical Scans
26 papers · 18.2% of this block
2022: 521 of every 10,000 papers on this subject2023: 478 of every 10,000 papers on this subject2024: 531 of every 10,000 papers on this subject2025: 415 of every 10,000 papers on this subject2022: 521 of every 10,000 papers on this subject2023: 478 of every 10,000 papers on this subject2024: 531 of every 10,000 papers on this subject2025: 415 of every 10,000 papers on this subject▼ -20% share2022→2025 share of research on this subject
Papers stress the need for robust processing pipelines to maintain diagnostic quality in MRI and mammography.
Magnetic resonance imaging · Image processing · Image quality · Image
“Computational Anatomy And AI For Quantifying Tumor–Immune Spatial Geometry From Medical Images And Predicting Treatment Sensitivity”
26 of these papers raise it as a problem
Resource Constraints on CNNs — Cautions
Cautions · theme 04
Resource Constraints on CNNs
16 papers · 11.2% of this block
2022: 913 of every 10,000 papers on this subject2023: 840 of every 10,000 papers on this subject2024: 564 of every 10,000 papers on this subject2025: 675 of every 10,000 papers on this subject2022: 913 of every 10,000 papers on this subject2023: 840 of every 10,000 papers on this subject2024: 564 of every 10,000 papers on this subject2025: 675 of every 10,000 papers on this subject▼ -26% share2022→2025 share of research on this subject
Research highlights limits of computational budgets and sampling strategies for real‑time vision applications.
Filter · Convolutional neural network · Sampling
“Convolutional neural networks at constrained time cost”
16 of these papers raise it as a problem
Opportunities4,515 papers · 7 recurring themes
Advances in Convolutional Architectures — Opportunities
Opportunities · theme 01
Advances in Convolutional Architectures
882 papers · 19.5% of this block
2022: 1,096 of every 10,000 papers on this subject2023: 1,037 of every 10,000 papers on this subject2024: 740 of every 10,000 papers on this subject2025: 908 of every 10,000 papers on this subject2022: 1,096 of every 10,000 papers on this subject2023: 1,037 of every 10,000 papers on this subject2024: 740 of every 10,000 papers on this subject2025: 908 of every 10,000 papers on this subject▼ -17% share2022→2025 share of research on this subject
Large body of work explores novel CNN designs, graph‑based extensions, and transfer learning for diverse vision problems.
Convolutional neural network · Pattern recognition · Graph · Convolution
“Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning”
Image Synthesis and Enhancement — Opportunities
Opportunities · theme 02
Image Synthesis and Enhancement
781 papers · 17.3% of this block
2022: 340 of every 10,000 papers on this subject2023: 335 of every 10,000 papers on this subject2024: 239 of every 10,000 papers on this subject2025: 226 of every 10,000 papers on this subject2022: 340 of every 10,000 papers on this subject2023: 335 of every 10,000 papers on this subject2024: 239 of every 10,000 papers on this subject2025: 226 of every 10,000 papers on this subject▼ -34% share2022→2025 share of research on this subject
Studies present new augmentation, rendering, and super‑resolution techniques to improve visual fidelity.
Image · Rendering · Pixel · Radiance
“Albumentations: Fast and Flexible Image Augmentations”
Robust Multi‑Modal Sensing Pipelines — Opportunities
Opportunities · theme 03
Robust Multi‑Modal Sensing Pipelines
763 papers · 16.9% of this block
2022: 44 of every 10,000 papers on this subject2023: 36 of every 10,000 papers on this subject2024: 20 of every 10,000 papers on this subject2025: 20 of every 10,000 papers on this subject2022: 44 of every 10,000 papers on this subject2023: 36 of every 10,000 papers on this subject2024: 20 of every 10,000 papers on this subject2025: 20 of every 10,000 papers on this subject▼ -54% share2022→2025 share of research on this subject
Research proposes efficient data handling and sensor fusion methods for resilient autonomous perception.
Robustness · Pipeline · Kalman filter · Enhanced Data Rates for GSM Evolution
“Efficient Ingestion, Labeling, and Storage of LiDAR, Radar, and Camera Datasets: Optimizing Storage Formats for Autonomous Vehicle Developme”
Deep Learning for Medical Imaging — Opportunities
Opportunities · theme 04
Deep Learning for Medical Imaging
647 papers · 14.3% of this block
2022: 131 of every 10,000 papers on this subject2023: 143 of every 10,000 papers on this subject2024: 151 of every 10,000 papers on this subject2025: 175 of every 10,000 papers on this subject2022: 131 of every 10,000 papers on this subject2023: 143 of every 10,000 papers on this subject2024: 151 of every 10,000 papers on this subject2025: 175 of every 10,000 papers on this subject▲ +34% share2022→2025 share of research on this subject
Works demonstrate powerful pattern‑recognition models for MRI, neuroimaging, and multi‑omics visual analysis.
Medical imaging · Pattern recognition · Magnetic resonance imaging · Neuroimaging
“Transforming multi-omics data into images for disease classification: A review of techniques and tools”
Integrated Robotic Perception — Opportunities
Opportunities · theme 05
Integrated Robotic Perception
546 papers · 12.1% of this block
2022: 1,033 of every 10,000 papers on this subject2023: 1,036 of every 10,000 papers on this subject2024: 1,095 of every 10,000 papers on this subject2025: 900 of every 10,000 papers on this subject2022: 1,033 of every 10,000 papers on this subject2023: 1,036 of every 10,000 papers on this subject2024: 1,095 of every 10,000 papers on this subject2025: 900 of every 10,000 papers on this subject▼ -13% share2022→2025 share of research on this subject
Papers showcase combined visual, tactile, and motion forecasting systems for mobile and wearable robots.
Robot · Motion · Wearable computer · Mobile robot
“Complementary visual localization and tactile mapping approach for robotic perception of millimeter-sized objects with irregular surfaces”
Next‑Generation Object Detectors — Opportunities
Opportunities · theme 06
Next‑Generation Object Detectors
489 papers · 10.8% of this block
2022: 254 of every 10,000 papers on this subject2023: 277 of every 10,000 papers on this subject2024: 214 of every 10,000 papers on this subject2025: 195 of every 10,000 papers on this subject2022: 254 of every 10,000 papers on this subject2023: 277 of every 10,000 papers on this subject2024: 214 of every 10,000 papers on this subject2025: 195 of every 10,000 papers on this subject▼ -23% share2022→2025 share of research on this subject
Research advances region‑based and cascade detection frameworks for higher accuracy and segmentation quality.
Object detection · Object · Pattern recognition · Detector
“Region-Based Convolutional Networks for Accurate Object Detection and Segmentation”
Innovative Image Segmentation Methods — Opportunities
Opportunities · theme 07
Innovative Image Segmentation Methods
407 papers · 9.0% of this block
2022: 682 of every 10,000 papers on this subject2023: 718 of every 10,000 papers on this subject2024: 753 of every 10,000 papers on this subject2025: 802 of every 10,000 papers on this subject2022: 682 of every 10,000 papers on this subject2023: 718 of every 10,000 papers on this subject2024: 753 of every 10,000 papers on this subject2025: 802 of every 10,000 papers on this subject▲ +18% share2022→2025 share of research on this subject
Studies introduce generative and scale‑space approaches to improve contour detection and hierarchical segmentation.
Segmentation · Image segmentation · Pattern recognition · Scale-space segmentation
“Contour Detection and Hierarchical Image Segmentation”

Which of these themes are growing fastest

Tracks how the share of world research allocated to different themes has shifted between 2022 and 2025.

Problems
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
Noise and Perception in Imaging▲+11%
Deploying CNNs in Medical Imaging▼-13%
Object Tracking and Trajectory Analysis▼-22%
Sampling Issues in Remote Sensing▼-40%
Cautions
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
Safety of Vision for Robotics▲+3%
Interpretability of Deep Vision Models▼-5%
Image Quality in Medical Scans▼-20%
Resource Constraints on CNNs▼-26%
Opportunities
how much more (or less) of the world’s research on this subject each theme took up, 2022→2025
gaining sharelosing share
Deep Learning for Medical Imaging▲+34%
Innovative Image Segmentation Methods▲+18%
Integrated Robotic Perception▼-13%
Advances in Convolutional Architectures▼-17%
Next‑Generation Object Detectors▼-23%
Image Synthesis and Enhancement▼-34%
Robust Multi‑Modal Sensing Pipelines▼-54%
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About this data: built from Fliar's company, founder, funding, hiring, jobs, news and research trackers, covering the United States. Counts are of companies we track, not of every company that exists. Updated August 2026.
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