Yizhuo He

CHROMOUVQA: BENCHMARKING VISION-LANGUAGE MODELS UNDER CHROMATIC CAMOUFLAGED IMAGES

Vision-Language Models (VLMs) have advanced multimodal understanding, yet still struggle when targets are embedded in cluttered backgrounds requiring figure-ground segregation. To address this, we introduce ChromouVQA, a large-scale, multi-task benchmark based on Ishihara-style chromatic camouflaged…