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Masked Generative Adversarial Networks are Data-Efficient Generation Learners., , , , , , , и . NeurIPS, (2022)Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment., , , и . CoRR, (2021)Efficient Test-Time Adaptation of Vision-Language Models., , , , и . CoRR, (2024)Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation., , , и . CVPR, стр. 9958-9968. IEEE, (2022)Unsupervised Domain Adaptation for Multispectral Pedestrian Detection., , , , , , и . CVPR Workshops, стр. 434-443. Computer Vision Foundation / IEEE, (2019)FSDR: Frequency Space Domain Randomization for Domain Generalization., , , и . CVPR, стр. 6891-6902. Computer Vision Foundation / IEEE, (2021)Domain Adaptive Video Segmentation via Temporal Pseudo Supervision., , , и . ECCV (30), том 13690 из Lecture Notes in Computer Science, стр. 621-639. Springer, (2022)RDA: Robust Domain Adaptation via Fourier Adversarial Attacking., , , и . ICCV, стр. 8968-8979. IEEE, (2021)Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection., , , , и . Inf. Fusion, (2019)Controllable and Gradual Facial Blemishes Retouching via Physics-Based Modelling., , , , , , , и . CoRR, (2024)