FGVC11

 Announcements

• Accepted papers are now online [here]. Congrats to all the authors! Many thanks to the reviewers and paper chairs for their work!

• Poster Sessions: 10:00-11:00 | 12:00-13:30 | Boards 199-228. Authors find the poster board assignment here.

• Location/room: Summit 326

• FGVC11 changed the date and is on June 17 June 18 (Tuesday). FGVC11 switched the slot with CV4Science to reduce overlap with relevant workshops.

• New Submission deadline for the Non-archival 4-pages track: March 20 March 27

• New Submission deadline for the Proceedings 8-pages track: March 01 March 08

• FGVC11 will be a full-day workshop on June 18, 2024.

• This year, FGVC has two paper tracks—more information under Call for Papers.

  • • Proceedings 8-pages: Submission deadline March 01 March 08

    • Non-archival 4-pages: Submission deadline March 20 March 27

• FGVC11 will be held in conjunction with CVPR 2024 in Seattle. More details to follow.

• Information about last year's workshop, FGVC10, is available here. 

All deadlines are set for 11:59 pm PT.

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 we can develop artificial systems that can efficiently discriminate between large numbers of highly similar visual concepts. 

The 11th Workshop on Fine-Grained Visual Categorization (FGVC11) 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 computer vision experts, 

• (ii) invited talks from experts in application domains (e.g., medical science and ecology), 

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

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

• (v) peer-reviewed extended abstract paper submissions. 

We aim to stimulate debate and to 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

• 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

Partners

We thank our partners Kaggle and Hugging Face for their support.