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Learning Loss for Active Learning

, and . (2019)cite arxiv:1905.03677Comment: Accepted to CVPR 2019 (Oral).

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Learning Loss for Active Learning., and . CVPR, page 93-102. Computer Vision Foundation / IEEE, (2019)Benchmarking Self-Supervised Learning on Diverse Pathology Datasets., , , , and . CVPR, page 3344-3354. IEEE, (2023)Learning Image Representations by Completing Damaged Jigsaw Puzzles., , , and . WACV, page 793-802. IEEE Computer Society, (2018)Two-Phase Learning for Weakly Supervised Object Localization., , and . ICCV, page 3554-3563. IEEE Computer Society, (2017)Fisher Kernel for Deep Neural Activations., , , and . CoRR, (2014)PRISM: a system for weighted multi-color browsing of fashion products., , , , , , and . WWW (Companion Volume), page 151-154. ACM, (2014)Light-Field Image Super-Resolution Using Convolutional Neural Network., , , , and . IEEE Signal Process. Lett., 24 (6): 848-852 (2017)Sentence learning on deep convolutional networks for image Caption Generation., , , and . URAI, page 246-247. IEEE, (2016)OCELOT: Overlapped Cell on Tissue Dataset for Histopathology., , , , , , , , , and 2 other author(s). CVPR, page 23902-23912. IEEE, (2023)Multi-scale pyramid pooling for deep convolutional representation., , , and . CVPR Workshops, page 71-80. IEEE Computer Society, (2015)