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When Does Self-supervision Improve Few-shot Learning?

, , and . (2019)cite arxiv:1910.03560Comment: ECCV 2020 camera ready. This is an updated version of "Boosting Supervision with Self-Supervision for Few-shot Learning" arXiv:1906.07079.

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Feature Pyramid Networks for Object Detection, , , , , and . CoRR, (2016)Visual Prompt Tuning., , , , , , and . ECCV (33), volume 13693 of Lecture Notes in Computer Science, page 709-727. Springer, (2022)Neural Caches for Monte Carlo Partial Differential Equation Solvers., , , , , and . SIGGRAPH Asia, page 34:1-34:10. ACM, (2023)Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception., , , , , , , , and . ICLR, OpenReview.net, (2022)Self-training For Few-shot Transfer Across Extreme Task Differences., and . ICLR, OpenReview.net, (2021)Unsupervised Semantic Segmentation by Distilling Feature Correspondences., , , , and . ICLR, OpenReview.net, (2022)Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset., , , , , , , and . ECCV (1), volume 12346 of Lecture Notes in Computer Science, page 316-332. Springer, (2020)Faster Jobs in Distributed Data Processing using Multi-Task Learning., , , and . SDM, page 532-540. SIAM, (2015)Few-Shot Classification With Feature Map Reconstruction Networks., , and . CVPR, page 8012-8021. Computer Vision Foundation / IEEE, (2021)Semantic contours from inverse detectors., , , , and . ICCV, page 991-998. IEEE Computer Society, (2011)