Self-Supervised Learning by Estimating Twin Class Distribution

Author:

Wang Feng1ORCID,Kong Tao2ORCID,Zhang Rufeng3ORCID,Liu Huaping1ORCID,Li Hang2

Affiliation:

1. Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

2. ByteDance AI Laboratory, Beijing, China

3. Department of Control Science and Engineering, Tongji University, Shanghai, China

Funder

National Natural Science Fund for Key International Collaboration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference69 articles.

1. SCAN: Learning to Classify Images Without Labels

2. A simple framework for contrastive learning of visual representations;chen;Proc ICML,2020

3. Training data-efficient image transformers & distillation through attention;touvron;Proc ICML,2021

4. Emerging Properties in Self-Supervised Vision Transformers

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