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Rethinking Noise-Robust Training for Frozen Vision Foundation Models: A Cross-Dataset Benchmark with a Case Study of Small-Loss Failure
揭秘冻结视觉模型训练中噪声数据的陷阱：小损失策略为何失效？跨数据集基准带来新洞察。
arXiv:2605.22591v1 Announce Type: new Abstract: Frozen Vision Foundation Models (VFMs) with lightweight classification heads are increasingly used in …