Self-attention-based long temporal sequence modeling method for temporal action detection

Published: 2023, Last Modified: 04 Aug 2025Neurocomputing 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Model long temporal sequence for TAD.•Build a novel framework to model temporal semantics.•Save computational resource overhead for untrimmed videos in TAD.•Expensive experiments prove the effectiveness of our method.
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