This is stars and forks stats for /NVlabs/FAN repository. As of 26 Apr, 2024 this repository has 437 stars and 25 forks.
Fully Attentional Networks Project Page | Paper | Slides | Poster Understanding The Robustness in Vision Transformers. Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng and Jose M. Alvarez. International Conference on Machine Learning, 2022. This repository contains the official Pytorch implementation of the training/evaluation code and the pretrained models of Fully Attentional Network (FAN). FAN is a family of general-purpose Vision Transformer backbones that are...
Fully Attentional Networks Project Page | Paper | Slides | Poster Understanding The Robustness in Vision Transformers. Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng and Jose M. Alvarez. International Conference on Machine Learning, 2022. This repository contains the official Pytorch implementation of the training/evaluation code and the pretrained models of Fully Attentional Network (FAN). FAN is a family of general-purpose Vision Transformer backbones that are...
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