News

• Poster board numbers are assigned to all papers: here

• Workshop date announced: June 03, 2026

• This year, FGVC13 has two paper tracks, and a nectar track. More information is under Call for Papers.

  • • Proceedings 8-pages: Submission deadline: Feb 27, 2026 Extended: March 03, 2026

    • Non-archival 4-pages: Submission deadline: April 03, 2026 Extended: April 10, 2026

    • Nectar track: Present already published work as a poster: Submission deadline: April 30, 2026

• Follow the FGVC Workshop on bluesky 🦋: @fgvcworkshop.bsky.social 

• Follow the FGVC Workshop on LinkedIn: linkedin.com/company/fgvcworkshop 

• FGVC13 will be held in conjunction with CVPR 2026 in Denver CO. More details to follow.

• Information about last year's workshop, FGVC12, is available here. 

All deadlines are set for 11:59 pm PT.

Invited Talks 

The AI Scientific Revolution will be Driven by Open-Ended and AI-Generating Algorithms
Jeff Clune - 9:15am

Application-Driven Machine Learning for Biodiversity
David Rolnick - 11:00am

Classification for cultural analytics: A case study in storytelling
Maria Antoniak - 1:45pm

Location Encoders for Supervising Satellite-based Mapping with Geographically-Sparse Ground Monitors
Morteza Karimzadeh - 3:45pm

Schedule - June 3, room 504

Workshop Overview 

It may be tempting to think that image classification is a solved problem. However, one only needs to look at the poor performance of existing techniques in domains with limited training data and highly similar categories to see that this is not the case. In particular, fine-grained categorization, e.g. the precise differentiation between similar plant or animal species, disease of the retina, architectural styles, etc., is an extremely challenging problem, pushing the limits of both human and machine performance. In these domains expert knowledge is typically required, and the question that must be addressed is how can we develop artificial systems that can efficiently discriminate between large numbers of highly similar visual concepts. 

The 13th Workshop on Fine-Grained Visual Categorization (FGVC13) will explore topics related to supervised learning, self-supervised learning, semi-supervised learning, vision and language, matching, localization, domain adaptation, transfer learning, few-shot learning, machine teaching, multimodal learning (e.g., audio and video), 3D-vision, crowd-sourcing, image captioning and generation, out-of-distribution detection, anomaly detection, open-set recognition, human-in-the-loop learning, and taxonomic prediction, all through the lens of fine-grained understanding. Hence, the relevant topics are neither restricted to vision nor categorization. 

Our workshop is structured around five main components: 

• (i) Invited talks from world-renowned experts

• (ii) interactive discussions during poster and panel sessions, 

• (iii) novel fine-grained challenges that are hosted as part of the workshop,

• (iv) peer-reviewed paper submissions (proceedings & non-archival), and

• (v) nectar track, i.e., the opportunity to present already published papers.

We aim to stimulate debate and expose the wider computer vision community to new and challenging problems in areas that have the potential for large societal impact but do not traditionally receive a significant amount of exposure at other CVPR workshops. 

Previous FGVC Workshops

• 12th FGVC Workshop @ CVPR 2025, Nashville

• 11th FGVC Workshop @ CVPR 2024, Seattle, WA 

• 10th FGVC Workshop @ CVPR 2023, Vancouver, Canada 

•  9th FGVC Workshop @ CVPR 2022, New Orleans, LA 

•  8th FGVC Workshop @ CVPR 2021, Virtual 

•  7th FGVC Workshop @ CVPR 2020, Virtual

•  6th FGVC Workshop @ CVPR 2019, Long Beach, CA

•  5th FGVC Workshop @ CVPR 2018, Salt Lake City, UT

•  4th FGVC Workshop @ CVPR 2017, Honolulu, HI

•  3rd FGVC Workshop @ CVPR 2015, Boston, MA

•  2nd FGVC Workshop @ CVPR 2013, Columbus, OH

•  1st FGVC Workshop @ CVPR 2011, Colorado Springs, CO