As an important part of video understanding. temporal action detection (TAD) has wide application scenarios. It aims to simultaneously predict the boundary position and class label of every action instance in an untrimmed video. Most of the existing temporal action detection methods adopt a stacked convolutional block strategy to model long temporal structures. https://thebrickes.shop/product-category/dryer-hose/
Non-Local Temporal Difference Network for Temporal Action Detection
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