Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding

Long video understanding poses a significant challenge for current Multi-modal Large Language Models (MLLMs). Notably, the MLLMs are constrained by their limited context lengths and the substantial costs while processing long videos. Although several existing methods attempt to reduce visual tokens,...

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Bibliographische Detailangaben

Hauptverfasser:	Shu, Yan, Liu, Zheng, Zhang, Peitian, Qin, Minghao, Zhou, Junjie, Liang, Zhengyang, Huang, Tiejun, Zhao, Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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