FGVC5

The Fifth Workshop on Fine-Grained Visual Categorization

Friday, June 22, 2018 -- Salt Lake City, UT

Organized in conjunction with the CVPR 2018 conference

Announcements

May 25 - Challenges are beginning to wrap up. The first ones (iMat Fashion and iMat Furniture) have a May 30th deadline!

Apr. 30 - FGVCx iFood classification challenge is live!

Apr. 27 - FGVCx Flower classification challenge is live!

Apr. 20 - FGVCx Fungi classification challenge is live!

Apr. 16 - The submission deadline for Extended Abstracts is Monday, May 1st. We welcome both research and FGVC-related application papers.

Apr. 16 - The FGVC Workshop is hosting several challenges, click on the thumbnails below.

Mar. 16 - FGVCx iWildCam camera trap challenge is live!

Feb. 5 - The iNaturalist 2018 and iMaterialist 2018 competitions will be spotlighted during a competitions session at the main CVPR conference!

Challenges

iNat 2018

iMat Fashion 2018

iMat Furniture 2018

iWildCam 2018

Fungi 2018

Flowers 2018

iFood 2018

Workshop Description

Fine categorization, i.e., the fine distinction into species of animals and plants, of car and motorcycle models, of architectural styles, etc., is one of the most interesting and useful open problems that the machine vision community is just beginning to address. Aspects of fine categorization (called 'subordinate categorization' in the psychology literature) are discrimination of related categories, taxonomization, and discriminative vs. generative learning.

Fine categorization lies in the continuum between basic level categorization (object recognition) and identification of individuals (face recognition, biometrics). The visual distinctions between similar categories are often quite subtle and therefore difficult to address with today’s general-purpose object recognition machinery. It is likely that radical re-thinking of some of the matching and learning algorithms and models that are currently used for visual recognition will be needed to approach fine categorization.

This workshop will explore computational questions of modeling, learning, detection and localization. It is our hope that the invited talks, including researchers from psychology and psychophysics, will shed light on human expertise and human performance in subordinate categorization and taxonomization.

For additional details, please see the FGVC4 workshop held in 2017.

Prior FGVC Workshops

Workshop Sponsors

Additional Challenge Sponsors