Action Recognition

Human action recognition has become an active research area in recent years, as it plays a significant role in video understanding. In general, human action can be recognized from multiple modalities, such as appearance, depth, optical flows, and body skeletons.In the video domain, it is an open question whether training an action classification network on a sufficiently large dataset, will give a similar boost in performance when applied to a different temporal task or dataset. The challenges of building video datasets has meant that most popular benchmarks for action recognition are small, having on the order of 10k videos. Please note some benchmarks may be located in the [Action Classification](https://paperswithcode.com/task/action-classification) or [Video Classification](https://paperswithcode.com/task/video-classification) tasks, e.g. Kinetics-400.

相关学科： Action ClassificationSkeleton Based Action RecognitionActivity RecognitionPose EstimationGCNGraph Convolutional NetworkVideo UnderstandingVideo ClassificationRepresentation LearningLSTM

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