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TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
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TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
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TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos Linli Yao 1,* , Yicheng Li 1,* , Yuancheng Wei 2,* , Lei Li 3 , Shuhuai Ren 1 , Yuanxin Liu 1 , Kun Ouyang 1 , Lean Wang 1 , Shicheng Li 1 , Sida Li 1 , Lingpeng Kong 3 , Qi Liu 3 , Yuanxing Zhang 4 , Xu Sun 1 1 Peking University, 2 South China University of Technology, 3 The University of Hong Kong, 4 Kuaishou Technology * Equal contribution Paper Code TimeChat-Online-139K Dataset Checkpoint Demo Demo Video Demonstration of TimeChat-Online's real-time streaming video understanding capabilities. This paper presents TimeChat-Online , a novel online VideoLLM for efficient Streaming Video Understanding. At its core is the innovative Differential Token Dropping (DTD) module that selectively preserves only significant temporal change...
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