2026
CORE: Compact Object-centric REpresentations as a New Paradigm for Token Merging in LVLMs
CVPR 2026
Large Vision-Language Models (LVLMs) usually suffer from prohibitive computational and memory costs due to the quadratic growth of visual tokens with image resolution. Existing token compression methods, while varied, often lack a high-level semantic understanding, leading to suboptimal merges, info