Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning

Author:

Ma Chong1ORCID,Zhao Lin2ORCID,Chen Yuzhong3ORCID,Wang Sheng4ORCID,Guo Lei1,Zhang Tuo1,Shen Dinggang5ORCID,Jiang Xi3ORCID,Liu Tianming2ORCID

Affiliation:

1. School of Automation, Northwestern Polytechnical University, Xi'an, China

2. School of Computing, University of Georgia, Athens, GA, USA

3. MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China

4. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

5. School of Biomedical Engineering, ShanghaiTech University, Shanghai, China

Funder

National Natural Science Foundation of China

the Special Fund for Basic Scientific Research of Central Colleges

Sichuan Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Reference58 articles.

1. Masked Autoencoders Are Scalable Vision Learners

2. INbreast

3. EfficientNet: Rethinking model scaling for convolutional neural networks;tan;Proc Int Conf Mach Learn,2019

4. Automatic shortcut removal for self-supervised representation learning;minderer;Proc Int Conf Mach Learn,2020

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