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Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences., , , , , , , и . CoRR, (2023)Dual-Mode Training with Style Control and Quality Enhancement for Road Image Domain Adaptation., , , , , и . WACV, стр. 1746-1755. IEEE, (2020)ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation., , , , , и . CoRR, (2024)LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation., , , , , и . WACV, стр. 3255-3265. IEEE, (2023)DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation., , , , и . CVPR, стр. 15866-15877. IEEE, (2023)Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision., , , , и . CoRR, (2021)LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation., , , , , и . CoRR, (2022)Monocular Depth Estimation Through Virtual-World Supervision and Real-World SfM Self-Supervision., , , , и . IEEE Trans. Intell. Transp. Syst., 23 (8): 12738-12751 (2022)Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network., , , , и . J. Digital Imaging, 32 (6): 971-979 (2019)TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation., , , , и . BMVC, стр. 189. BMVA Press, (2021)