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cs.CV2024
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
Tianyu Yang, Lisen Dai, Xiangqi Wang +3
Machine unlearning (MU) has gained significant attention as a means to remove specific data from trained models without requiring a full retraining process. While progress has been…
cs.CV2024
AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
Han Bao, Yue Huang, Yanbo Wang +7
Large Vision-Language Models (LVLMs) have become essential for advancing the integration of visual and linguistic information. However, the evaluation of LVLMs presents significant…