Action Parsing
2 papers with code • 0 benchmarks • 2 datasets
Action parsing is the task of, given a video or still image, assigning each frame or image a label describing the action in that frame or image.
Benchmarks
These leaderboards are used to track progress in Action Parsing
TAPOS
Home Action Genome
Most implemented papers
Local Temporal Bilinear Pooling for Fine-grained Action Parsing
yz-cnsdqz/TemporalActionParsing-FineGrained
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CVPR 2019
Fine-grained temporal action parsing is important in many applications, such as daily activity understanding, human motion analysis, surgical robotics and others requiring subtle and precise operations in a long-term period.
Frontal Low-rank Random Tensors for Fine-grained Action Segmentation
In this paper, we propose an approach to representing high-order information for temporal action segmentation via a simple yet effective bilinear form.
