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Exploring Visual Engagement Signals for Representation Learning

VisE learns visual representations from clustered social media engagement pseudo-labels, improving subjective downstream tasks like emotion recognition and political bias detection.

Published Oct 1, 2021 · 8 citations

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5/20 AI panelreviewers recommend it

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CVPR 2021Cornell Meta Meta Fudan Image recognition

Intentonomy: a Dataset and Study towards Human Intent Understanding

Intentonomy introduces 14K social media images annotated with 28 human intent categories to study how objects, context, and hashtags predict intent. Analysis reveals visual and textual cues significantly improve intent recognition over appearance alone.

Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie and 2 more

Published Jun 1, 2021 · 39 citations

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it

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