The EAR method improves uni-modal event perception in audio-visual video parsing via targeted enhancements to pseudo-label generation and feature modeling, outperforming prior state-of-the-art approaches.
Action-driven semantic representation and aggregation for video captioning
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EAR: Enhancing Uni-Modal Representations for Weakly Supervised Audio-Visual Video Parsing
The EAR method improves uni-modal event perception in audio-visual video parsing via targeted enhancements to pseudo-label generation and feature modeling, outperforming prior state-of-the-art approaches.