Video Moment Retrieval
PulseAugur coverage of Video Moment Retrieval — every cluster mentioning Video Moment Retrieval across labs, papers, and developer communities, ranked by signal.
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New TBSG-Net advances video moment retrieval with temporal graph modeling
Researchers have introduced TBSG-Net, a novel Temporal Bipartite Scene Graph Network designed for fine-grained video moment retrieval. This model addresses limitations in existing methods by incorporating temporal dynam…
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New framework CoSTL enhances video moment retrieval and highlight detection
Researchers have introduced CoSTL, a new framework designed to improve video moment retrieval and highlight detection. This approach addresses limitations in existing methods by focusing on both fine-grained image-level…
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New network improves video moment retrieval across domains
Researchers have introduced a novel Multi-Modal Cross-Domain Alignment (MMCDA) network designed to improve video moment retrieval across different datasets. This approach addresses the challenge of performance degradati…
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New MCMT method improves weakly-supervised video moment retrieval
Researchers have developed a new method called Multi-proposal Collaboration and Multi-task Training (MCMT) for weakly-supervised Video Moment Retrieval. This technique aims to identify relevant video segments matching a…
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New benchmark and models advance generalized moment retrieval in videos
Researchers have introduced Generalized Moment Retrieval (GMR), a new framework for video analysis that moves beyond the assumption of a single matching moment per query. This approach aims to retrieve all relevant temp…