Transformers,originally designed for natural language processing,have demonstrated remarkable capabilities in modeling long-range dependencies,capturing complex spatiotemporal patterns,and enhancing the interpretabili...Transformers,originally designed for natural language processing,have demonstrated remarkable capabilities in modeling long-range dependencies,capturing complex spatiotemporal patterns,and enhancing the interpretability of video-based AI systems.In recent years,the integration of transformer-based architectures has significantly advanced the field of intelligent network video analysis,reshaping traditional paradigms in video understanding,surveillance,and real-time processing.展开更多
文摘Transformers,originally designed for natural language processing,have demonstrated remarkable capabilities in modeling long-range dependencies,capturing complex spatiotemporal patterns,and enhancing the interpretability of video-based AI systems.In recent years,the integration of transformer-based architectures has significantly advanced the field of intelligent network video analysis,reshaping traditional paradigms in video understanding,surveillance,and real-time processing.
