VideoBrain: Learning Adaptive Frame Sampling for Long Video Understanding 事件

VideoBrain: Learning Adaptive Frame Sampling for Long Video Understanding arXiv:2602.04094v2 Announce Type: replace Abstract: Long-form video understanding remains challenging for Vision-Language Models (VLMs) due to the inherent tension between computational constraints and the need to capture information distributed across thousands of frames. Existing approaches either sample frames uniformly (risking information loss) or select keyframes in a single pass (with no recovery from poor choices)