arxiv preprint - InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding
In this episode, we discuss InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding by Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Jilan Xu, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang. InternVideo2 is a cutting-edge video foundation model designed to understand and generate video content, achieving superior performance across multiple video and audio tasks. The training involves a progressive strategy that combines multiple learning techniques and emphasizes the connection between video and text, enhanced through semantic segmentation and the generation of captions. The model's capabilities were proven through rigorous testing, displaying exceptional proficiency in video captioning, dialogue, and understanding of extended video sequences.
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