Call for Papers
RetailVision invites original research submissions that explore the role of computer vision in transforming the retail industry. We welcome full papers presenting innovative methods, systems, or insights. Accepted papers will be included in the official CVPR proceedings, and some will be asked to be presented at the workshop as an oral talk and/or a poster.
Important Dates
- Paper submission deadline: June 30, 2025 (23:59 anywhere on earth)
- Notification of acceptance: July 11, 2025
- Camera-ready deadline: July 20, 2025
- Workshop date: October 19/20, 2025
Submission Details
Submitted papers must be in English, in PDF format, and between 5 to 8 pages in length (excluding references), in the ICCV style (ICCV 2025 Author Kit). Papers should be submitted via the workshop page on OpenReview.
Overview
Previous workshops: CVPR 2024, CVPR 2023, CVPR 2022, CVPR 2021, CVPR 2020
The rapid development in computer vision and machine learning has caused a major disruption in the retail industry in recent years. In addition to the rise of online shopping, traditional markets also quickly embraced AI-related technology solutions at the physical store level. Following the introduction of computer vision to the world of retail, a new set of challenges emerged. These challenges were further expanded with the introduction of image and video generation capabilities.
The physical domain exhibits challenges such as the detection of shopper and product interactions, fine-grained recognition of visually similar products, as well as new products that are introduced on a daily basis. The online domain contains similar challenges, but with their own twist. Product search and recognition is performed on more than 100,000 classes, each including images, textual captions, and text by users during their search. In addition to discriminative machine learning, image generation has also started being used for the generation of product images and virtual try-on.
All of these challenges are shared by different companies in the field, and are also at the heart of the computer vision community. This workshop aims to present the progress in these challenges and encourage the forming of a community for retail computer vision.
Invited Speakers
Organizers
For questions about the workshop please contact Ehud Barnea (ehud.barnea at gmail dot com). For questions about the challenge please see challenge pages.
The GroceryVision Challenge
This year's challenge focuses on shopping scenarios in physical stores. It is based on data collected by Amazon. We offer two distinct but complementary tracks: a track for action recognition and one for product verification. In the action recognition scenario, a model detects shopper actions such as putting a product in a basket. The verification track is about recognizing the product's identity. This is a unique opportunity to explore this domain.