2026
AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
CVPR 2026
Vision-Language Models (VLMs) have achieved remarkable success in visual question answering tasks, but their reliance on large numbers of visual tokens introduces significant computational overhead. While existing efficient VLM approaches reduce visual tokens through fixed-ratio compression, they op