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Found 3 papers, 3 papers with code
Spatio-temporal Relation Modeling for Few-shot Action Recognition
Experiments are performed on four few-shot action recognition benchmarks: Kinetics, SSv2, HMDB51 and UCF101.
Ranked #1 on
Few Shot Action Recognition
on HMDB51
NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human Actions
The lack of fine-grained joints (facial joints, hand fingers) is a fundamental performance bottleneck for state of the art skeleton action recognition models.
Ranked #1 on
Skeleton Based Action Recognition
on NTU60-X
Quo Vadis, Skeleton Action Recognition ?
To study skeleton-action recognition in the wild, we introduce Skeletics-152, a curated and 3-D pose-annotated subset of RGB videos sourced from Kinetics-700, a large-scale action dataset.
Ranked #1 on
Skeleton Based Action Recognition
on Skeletics-152
