Visformer: The Vision-friendly Transformer

@article{Chen2021VisformerTV,
  title={Visformer: The Vision-friendly Transformer},
  author={Zhengsu Chen and Lingxi Xie and Jianwei Niu and Xuefeng Liu and Longhui Wei and Qi Tian},
  journal={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2021},
  pages={569-578}
}
  • Zhengsu ChenLingxi Xie Qi Tian
  • Published 26 April 2021
  • Computer Science
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
The past year has witnessed the rapid development of applying the Transformer module to vision problems. While some researchers have demonstrated that Transformer-based models enjoy a favorable ability of fitting data, there are still growing number of evidences showing that these models suffer over-fitting especially when the training data is limited. This paper offers an empirical study by performing step-by-step operations to gradually transit a Transformer-based model to a convolution-based… 

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