Overview - AToMiC 2023

Data | Runs | Participants

The Authoring Tools for Multimedia Content (AToMiC) Track aims to build reliable benchmarks for multimedia search systems. The focus of this track is to develop and evaluate IR techniques for text-to-image and image-to-text search problems.

Track coordinator(s):

• Jheng-Hong (Matt) Yang, University of Waterloo
• Jimmy Lin, University of Waterloo
• Carlos Lassance, Naver Labs Europe
• Rafael S. Rezende, Naver Labs Europe
• Stéphane Clinchant, Naver Labs Europe
• Krishna Srinivasan, Google Research
• Miriam Redi, Wikimedia Foundation

Tasks:

• suggest: Image Suggestion (T2M)
• promote: Image Promotion (M2T)

Track Web Page: https://trec-atomic.github.io/

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