Instance-Level Recognition Workshop at ICCV'21


Visual instance-level recognition and retrieval are fundamental tasks in computer vision. Despite the recent advances in this field, many techniques have been evaluated on a limited number of domains, with small number of classes. We believe that the research community can benefit from a new suite of datasets and associated challenges, to improve the understanding about the limitations of current technology, and with an opportunity to introduce new techniques.

This year, our workshop will focus on three different domains: artworks, landmarks and products.

The Instance-Level Recognition (ILR) Workshop is a follow-up of three successful editions of our previous workshops — the first two having focused only on landmark recognition (CVPRW18, CVPRW19), and the most recent edition focusing on other domains as well (ECCVW20).

Workshop Topics

Landmark Recognition

Recognize landmarks in images.
Challenge Website

Landmark Retrieval

Retrieve relevant landmark images from a large-scale database.
Challenge Website

Artwork Recognition

Recognize artworks in images.

Product Retrieval

Retrieve relevant product images from a large-scale database.

Invited Speakers

Laura Leal-Taixé

Professor at Technical University of Munich

Rong Jin

Head of Machine Intelligence Technologies at Alibaba


Andre Araujo

Google Research (Primary Contact)

Cam Askew

Google Research

Bingyi Cao

Google Research

Ondrej Chum

Czech Technical University

Noa Garcia

Osaka University

Bohyung Han

Seoul National University

Guangxing Han

Columbia University

Varsha Hedau


Pradeep Natarajan


Robinson Piramuthu


Jack Sim

Google Research

Giorgos Tolias

Czech Technical University

Tobias Weyand

Google Research

Yue Wu


Xu Zhang

Amazon Alexa

Torsten Sattler

Czech Technical University in Prague

© 2021 ILR2021

We thank Jalpc for the jekyll template