TransMix: Attend to Mix for Vision Transformers

Author:

Chen Jie-Neng1,Sun Shuyang2,He Ju1,Torr Philip2,Yuille Alan1,Bai Song3

Affiliation:

1. Johns Hopkins University

2. University of Oxford

3. ByteDance Inc.

Funder

ONR

Lustgarten Foundation for Pancreatic Cancer Research

ERC

EPSRC

Publisher

IEEE

Reference55 articles.

1. Training data-efficient image transformers & distillation through attention;touvron;International Conference on Machine Learning,0

2. Learning to sample the most useful training patches from images;sun;ArXiv Preprint,2020

3. The Role of Context for Object Detection and Semantic Segmentation in the Wild

4. Towards Robust Vision Transformer

5. HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration

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