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Patch Rebirth: Toward Fast and Transferable Model Inversion of Vision Transformers
Model inversion is a widely adopted technique in data-free learning that reconstructs synthetic inputs from a pretrained model through iterative optimization, without access to original training data. Unfortunately, its application to state-of-the-art Vision Transformers (ViTs) poses a major computa
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