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cs.CV2025
ColorBlindnessEval: Can Vision-Language Models Pass Color Blindness Tests?
Zijian Ling, Han Zhang, Yazhuo Zhou +1
This paper presents ColorBlindnessEval, a novel benchmark designed to evaluate the robustness of Vision-Language Models (VLMs) in visually adversarial scenarios inspired by the Ish…
cs.CV2022★ 2 cited
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world
Yulu Gan, Mingjie Pan, Rongyu Zhang +4
When facing changing environments in the real world, the lightweight model on client devices suffers from severe performance drops under distribution shifts. The main limitations o…