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RareAct

A video dataset of unusual interactions

RareAct

This paper introduces a manually annotated video dataset of unusual actions, namely RareAct, including actions such as "blend phone", "cut keyboard" and "microwave shoes". RareAct aims at evaluating the zero-shot and few-shot compositionality of action recognition models for unlikely compositions of common action verbs and object nouns. It contains 122 different actions which were obtained by combining verbs and nouns rarely co-occurring together in the large-scale textual corpus from HowTo100M, but that frequently appear separately. We provide benchmarks using a state-of-the-art HowTo100M pretrained video and text model and show that zero-shot and few-shot compositionality of actions remains a challenging and unsolved task.

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Task
Video Classification
Annotation Types
Classification Tags
1000000
Items
8
Classes
1000000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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