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논문: https://proceedings.mlr.press/v139/radford21a저자: Alec Radford*, Jong Wook Kim*, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, Ilya Sutskever(OpenAI, San Francisco, CA 94110, USA) *Equal contribution인용: Radford, Alec, et al. "Learning transferable visual models from natural language supervision." Intern..

논문: https://proceedings.mlr.press/v119/chen20j.html저자: Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey Hinton (Google Research, Brain Team)인용: Chen, Ting, et al. "A simple framework for contrastive learning of visual representations." International conference on machine learning. PmLR, 2020.깃허브: https://github.com/google-research/simclr0. 초록 (Abstract) 저자는 최근에 대두된 대조적 자기 지도 학습 (contrastiv..

논문: https://arxiv.org/abs/1708.02002 저자: Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollar. Facebook AI Research (FAIR)  인용: Ross, T-YLPG, and G. K. H. P. Dollár. "Focal loss for dense object detection." proceedings of the IEEE conference on computer vision and pattern recognition. 2017.  깃허브: https://github.com/facebookresearch/Detectron 주: 게시글 아래 RetinaNet ICCV 2017 구두발표 영상과 영..

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: ..