A theory-driven self-labeling refinement method for contrastive representation learning
For an image query, unsupervised contrastive learning labels crops of the same image as positives, and other image crops as negatives. Although intuitive, such a native label assignment strategy cannot reveal the underlying semantic similarity between a query and its positives and negatives, and imp...
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| Main Authors: | , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2021
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| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/8989 https://ink.library.smu.edu.sg/context/sis_research/article/9992/viewcontent/2021_NeurIPS_SANE.pdf |
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