Room: 104 E (Level 1)
Poster session: ExHall D poster boards #373 - #403 at time 4pm - 6pm.
Poster board assignment: [here]
Room: 104 E (Level 1) [Floor plan] [CVPR workshop page]
FGVC12 is scheduled on June 11.
Speakers announced! We are excited to hear from the best in class including:
Randall Balestriero, Kai Han, Mia Chiquier, Elisa Ricci, Kenneth Marino
Deadline for the Non-archival track is extended to April 02.
Deadline for the Proceedings track is extended to March 07.
Paper submissions CMT page is online: https://cmt3.research.microsoft.com/FGVC2025
This year, FGVC12 has two paper tracks, and a nectar track. More information is under Call for Papers.
Proceedings 8-pages: Submission deadline March 05 March 07
Non-archival 4-pages: Submission deadline March 31 April 02
Nectar track: Present already published work as a poster: Submission deadline April 30
Follow the FGVC Workshop on bluesky 🦋: @fgvcworkshop.bsky.social
Follow the FGVC Workshop on LinkedIn: linkedin.com/company/fgvcworkshop
FGVC12 will be held in conjunction with CVPR 2025 in Nashville. More details to follow.
Information about last year's workshop, FGVC11, is available here.
All deadlines are set for 11:59 pm PT.
Room: 104 E (Level 1)
Brown University
University of Hong Kong
Columbia University
DeepMind / University of Utah
University of Trento
Kempner Institute, Harvard
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 we can develop artificial systems that can efficiently discriminate between large numbers of highly similar visual concepts.
The 12th Workshop on Fine-Grained Visual Categorization (FGVC12) 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.
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