Video Backbone

Video backbones are the foundational feature extraction components of video analysis models, aiming to efficiently and effectively represent video data for downstream tasks like action recognition and event detection. Current research emphasizes improving efficiency, particularly through the development of memory-efficient adapters for large pre-trained models and the exploration of video-specific architectures that avoid the limitations of adapting image-based backbones. These advancements are crucial for enabling real-time processing and scaling video understanding models to handle increasingly complex and large-scale datasets, impacting applications ranging from video surveillance to automated content analysis.