Visual Transformers: Where Do Transformers Really Belong in Vision Models?-Reference-Cited by-同舟云学术

Visual Transformers: Where Do Transformers Really Belong in Vision Models?

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Wu Bichen¹,Xu Chenfeng²,Dai Xiaoliang¹,Wan Alvin²,Zhang Peizhao¹,Yan Zhicheng¹,Tomizuka Masayoshi²,Gonzalez Joseph²,Keutzer Kurt²,Vajda Peter¹

Affiliation:

1. Facebook Inc

2. University of California, Berkeley

Publisher

IEEE

Link

Reference53 articles.

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2. Training data-efficient image transformers & distillation through attention;touvron,2020

5. Xnor-net: Imagenet classification using binary convolutional neural networks;rastegari;European Conference on Computer Vision,2016

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