Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app

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,Self-Promoted Supervision for Few-Shot Transformer, the same few-shot learning frameworks, replacing the widely used CNN feature extractor with a ViT model often severely impairs few-shot classification performance. Moreover, our empirical study shows that in the absence of inductive bias, ViTs often learn the low-qualified token dependencies under

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Computer Vision – ECCV 2022978-3-031-20044-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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