Web: http://arxiv.org/abs/2205.13213

Sept. 20, 2022, 1:13 a.m. | Zizheng Pan, Jianfei Cai, Bohan Zhuang

cs.CV updates on arXiv.org arxiv.org

Vision Transformers (ViTs) have triggered the most recent and significant
breakthroughs in computer vision. Their efficient designs are mostly guided by
the indirect metric of computational complexity, i.e., FLOPs, which however has
a clear gap with the direct metric such as throughput. Thus, we propose to use
the direct speed evaluation on the target platform as the design principle for
efficient ViTs. Particularly, we introduce LITv2, a simple and effective ViT
which performs favourably against the existing state-of-the-art methods across …

arxiv attention transformers vision

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