第001/14页（英文原文）Long Movie Clip Classification with State-Space Video ModelsMd Mohaiminul Islam, Gedas BertasiusUNC Chapel HillAbstract. Most modern video recognition models are designed to operate on short video clips (e.g., 5-10s in length). Thus, it is challenging to apply such models to long movie understanding tasks, which typically require sophisticated long-range temporal reasoning. The recently introduced video transformers partially address this issue by using longrange temporal self-attention. However, due to the quadratic cost of selfattention, such models are often costly and impractical to use. Instead, we prop