Shypd.aiThe largest open index of AI toolsAwesome-Self-Supervised-Papers is an open-source paper bank that collects research papers on self-supervised learning and representation learning. It provides a curated list of academic works in the field.
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Awesome-Self-Supervised-Papers is a comprehensive, open-source repository on GitHub dedicated to collecting and organizing research papers in the fields of self-supervised learning and representation learning. It serves as a valuable resource for researchers and practitioners, offering a curated list of academic publications. The repository is regularly updated with new papers, including those focusing on self-supervised learning with distillation and dense prediction. It categorizes papers by areas such as Computer Vision (CV) pretraining, contrastive learning, image transformation, self-supervised learning with knowledge distillation, and various other methods, providing details like conference/journal, ImageNet accuracy, and other performance metrics where applicable. Contributions to the paper bank are welcomed.
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