BEAR (Benchmark on video Action Recognition)
Introduced by Deng et al. in A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition
BEAR (Benchmark on video Action Recognition) is a collection of 18 video datasets grouped into 5 categories (anomaly, gesture, daily, sports, and instructional), which covers a diverse set of real-world applications.
Source: A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action RecognitionPapers
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