SDST is a parameter-efficient, anchor-free side-tuning architecture for video temporal grounding that matches or beats state-of-the-art methods with about 73% fewer trainable parameters.
Joint visual and audio learning for video highlight detection
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Sparse-Dense Side-Tuner for efficient Video Temporal Grounding
SDST is a parameter-efficient, anchor-free side-tuning architecture for video temporal grounding that matches or beats state-of-the-art methods with about 73% fewer trainable parameters.