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[논문 리뷰] SupCon: Supervised Constrastive Learning

논문: https://proceedings.neurips.cc/paper_files/paper/2020/hash/d89a66c7c80a29b1bdbab0f2a1a94af8-Abstract.html 저자: Prannay Khosla (Google Research), Piotr Teterwak(Boston University), ChenWang (Snap Inc.), Aaron Sarna (Google Research, corresponding author), Yonglong Tian (MIT), Phillip Isola (MIT), Aaron Maschinot (Google Research), Ce Liu (Google Research), Dilip Krishnan (Google Research) 인용: ..

[Paper Review]/Computer Vision 2024.09.03
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defect detection, supcon, pytorch, channel attention, multi-light source, deep supervision, feature fusion, 자료구조, supervised contrastive learning,

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