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CLIPCleanergithub.comCLIPCleaner is a method for cleaning noisy labels in machine learning by leveraging CLIP, a vision-language model, for offline sample selection. It decouples sample selection from the training model, offering a simple single-step approach that achieves competitive performance on benchmark datasets.
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