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Self-Refining Segment Anything Model for Nuclei Segmentation as Contrastive Learning Approach to Label-Efficient Pathological Imaging. [PDF]
Nam S, Park SH.
europepmc +1 more source
Patch-sampled contrastive learning for dense prediction pretraining in metallographic images. [PDF]
Li M, Liu Y, Chen D, Bao J, Huo Y.
europepmc +1 more source
Self-supervised contrastive learning enables robust electrocardiogram-based cardiac classification. [PDF]
Dade D +4 more
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Contrastive sentence representation learning with adaptive false negative cancellation [PDF]
Contrastive sentence representation learning has made great progress thanks to a range of text augmentation strategies and hard negative sampling techniques.
Lingling Xu, Haoran Xie, Fu Lee Wang
exaly +3 more sources
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Adversarial supervised contrastive learning
Machine Learning, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhuorong Li +4 more
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Geometric Contrastive Learning
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023Yeskendir Koishekenov +3 more
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