Prototypical contrastive learning of unsupervised representations
This paper presents Prototypical Contrastive Learning (PCL), an unsupervised representation learning method that bridges contrastive learning with clustering. PCL not only learns low-level features for the task of instance discrimination, but more importantly, it encodes semantic structures discover...
Saved in:
Main Authors: | , , , |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2021
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/8993 https://ink.library.smu.edu.sg/context/sis_research/article/9996/viewcontent/2021_ICLR_PCL.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|