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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Bibliographic Details
Main Authors: ZHOU, Pan, XIONG, Caiming, YUAN, Xiao-Tong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access: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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Institution: Singapore Management University
Language: English