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Multi-level adversarial network for domain adaptive semantic segmentation.

, , , and . Pattern Recognit., (2022)

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Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment., , , and . CoRR, (2021)Masked Generative Adversarial Networks are Data-Efficient Generation Learners., , , , , , , and . NeurIPS, (2022)Efficient Test-Time Adaptation of Vision-Language Models., , , , and . CoRR, (2024)Scale variance minimization for unsupervised domain adaptation in image segmentation., , , and . Pattern Recognit., (2021)Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation., , , , and . AAAI, page 2795-2803. AAAI Press, (2022)Class-Independent Regularization for Learning with Noisy Labels., , , and . AAAI, page 3276-3284. AAAI Press, (2023)Category Contrast for Unsupervised Domain Adaptation in Visual Tasks., , , , and . CVPR, page 1193-1204. IEEE, (2022)PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds., , , , , and . NeurIPS, (2022)Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data., , , and . NeurIPS, page 3635-3649. (2021)Unsupervised Domain Adaptation for Multispectral Pedestrian Detection., , , , , , and . CVPR Workshops, page 434-443. Computer Vision Foundation / IEEE, (2019)