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Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth., , , , , , , , , и 1 other автор(ы). ICLR, OpenReview.net, (2020)3D facial model synthesis using coupled dictionaries., , и . ICIP, стр. 3896-3900. IEEE, (2015)An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks., , , , , , , и . CoRR, (2016)MetaReg: Towards Domain Generalization using Meta-Regularization., , и . NeurIPS, стр. 1006-1016. (2018)Face and Image Representation in Deep CNN Features., , , , , , и . FG, стр. 673-680. IEEE Computer Society, (2017)Is CLIP Fooled by Optical Illusions?, , и . Tiny Papers @ ICLR, OpenReview.net, (2023)Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks., , , , , , , и . Int. J. Comput. Vis., 126 (2-4): 272-291 (2018)Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans., , , , , , , и . IEEE Signal Process. Mag., 35 (1): 66-83 (2018)Towards the design of an end-to-end automated system for image and video-based recognition., , , , , , и . ITA, стр. 1-7. IEEE, (2016)Generate to Adapt: Aligning Domains Using Generative Adversarial Networks., , , и . CVPR, стр. 8503-8512. Computer Vision Foundation / IEEE Computer Society, (2018)