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Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs
To address this issue, We propose a language-assisted diagnostic method that uses texts instead of images to diagnose bugs in vision models based on multi-modal models (eg CLIP).
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
Deep network models perform excellently on In-Distribution (ID) data, but can significantly fail on Out-Of-Distribution (OOD) data.
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