Abstract: Vision Transformers (ViTs) have achieved outstanding performance in visual applications. However, ViT’s increasing parameters and computation overhead limit its deployment on hardware.
Abstract: The high computational costs associated with large deep learning models significantly hinder their practical deployment. Model pruning has been widely explored in deep learning literature to ...
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