Animal Action Recognition
2 papers with code • 0 benchmarks • 2 datasets
Cross-species (intra-class, inter-class) action recognition
Benchmarks
These leaderboards are used to track progress in Animal Action Recognition
Animal Kingdom
CVB
Most implemented papers
Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding
SUTDCV/Animal-Kingdom
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CVPR 2022
More specifically, our dataset contains 50 hours of annotated videos to localize relevant animal behavior segments in long videos for the video grounding task, 30K video sequences for the fine-grained multi-label action recognition task, and 33K frames for the pose estimation task, which correspond to a diverse range of animals with 850 species across 6 major animal classes.
Actor-agnostic Multi-label Action Recognition with Multi-modal Query
Existing action recognition methods are typically actor-specific due to the intrinsic topological and apparent differences among the actors.
