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Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game.

, , , , и . NeurIPS, стр. 13232-13243. (2019)

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A Non-rigid Face Tracking Method for Wide Rotation Using Synthetic Data., , и . ICPRAM (Selected Papers), том 9493 из Lecture Notes in Computer Science, стр. 185-198. Springer, (2015)Dist-GAN: An Improved GAN Using Distance Constraints., , и . ECCV (14), том 11218 из Lecture Notes in Computer Science, стр. 387-401. Springer, (2018)An Improved Self-supervised GAN via Adversarial Training., , , и . CoRR, (2019)Improving GAN with Neighbors Embedding and Gradient Matching., , и . AAAI, стр. 5191-5198. AAAI Press, (2019)InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning., , и . WACV, стр. 3941-3951. IEEE, (2021)Cascaded Regressions of Learning Features for Face Alignment., , , и . ACIVS, том 9386 из Lecture Notes in Computer Science, стр. 705-716. Springer, (2015)Towards Pose-free Tracking of Non-rigid Face using Synthetic Data., , и . ICPRAM (2), стр. 37-44. SciTePress, (2015)A robust framework for tracking simultaneously rigid and non-rigid face using synthesized data., , и . Pattern Recognit. Lett., (2015)IRIM at TRECVID 2012 : Semantic Indexing and Instance Search., , , , , , , , , и 27 other автор(ы). TRECVID, National Institute of Standards and Technology (NIST), (2012)On Data Augmentation for GAN Training., , , , и . IEEE Trans. Image Process., (2021)