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MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images.

, , , , , and . CVPR, page 9329-9338. Computer Vision Foundation / IEEE, (2020)

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Processing Negation in a Miniature Artificial Language., , , and . Cogn. Sci., (2019)MineGAN: effective knowledge transfer from GANs to target domains with few images., , , , , and . CoRR, (2019)Robust photometric invariant features from the color tensor., , and . IEEE Trans. Image Processing, 15 (1): 118-127 (2006)Computational Color Constancy: Survey and Experiments., , and . IEEE Trans. Image Processing, 20 (9): 2475-2489 (2011)Review on Computer Vision Techniques in Emergency Situation., , , , and . CoRR, (2017)SDIT: Scalable and Diverse Cross-domain Image Translation., , , and . ACM Multimedia, page 1267-1276. ACM, (2019)Learning Metrics From Teachers: Compact Networks for Image Embedding., , , , , and . CVPR, page 2907-2916. Computer Vision Foundation / IEEE, (2019)Continual Learning in Cross-Modal Retrieval., , and . CVPR Workshops, page 3628-3638. Computer Vision Foundation / IEEE, (2021)Leveraging Unlabeled Data for Crowd Counting by Learning to Rank., , and . CVPR, page 7661-7669. Computer Vision Foundation / IEEE Computer Society, (2018)Reducing Label Effort: Self-Supervised meets Active Learning., , , and . ICCVW, page 1631-1639. IEEE, (2021)