Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention

Video sentence grounding (VSG) is the task of identifying the segment of an untrimmed video that semantically corresponds to a given natural language query. While many existing methods extract frame-grained features using pre-trained 2D or 3D convolution networks, often fail to capture subtle differ...

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Veröffentlicht in:	IEEE transactions on multimedia 2024, Vol.26, p.11204-11218
Hauptverfasser:	Xiong, Zeyu, Liu, Daizong, Fang, Xiang, Qu, Xiaoye, Dong, Jianfeng, Zhu, Jiahao, Tang, Keke, Zhou, Pan
Format:	Artikel
Sprache:	eng
Schlagworte:	Cross-modal Feature extraction Grounding masked attention memory network Object tracking Semantics Target tracking Task analysis tracking Visualization VSG
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