most citedViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 2 cited

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention

Jyotikrishna Dass, Shang Wu, Huihong Shi +4

Vision Transformer (ViT) has emerged as a competitive alternative to convolutional neural networks for various computer vision applications. Specifically, ViT multi-head attention…