Abstract: Vision Transformer (ViT) has recently demonstrated impressive nonlinear modeling capabilities and achieved state-of-the-art performance in various industrial applications, such as object ...

Abstract: Albeit the scalable performance of vision transformers (ViTs), the dense computational costs undermine their position in industrial applications. Post-training quantization (PTQ), tuning ...

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Supervised Training: We train both ViT and CNN branches on labeled samples. Finding To Conquering Strategy (FTC): We find class-specific boundaries based on the fixed ViT Encoder E1 by maximizing ...

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