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While originally designed for image generation, diffusion models have recently shown to provide excellent pretrained feature representations for semantic segmentation.
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Unsupervised domain adaptation for semantic segmentation via class-balanced self-training
Yang Zou, Zhiding Yu, BVK Kumar, and Jinsong Wang · 2018
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Alexander Kirillov, Ross Girshick, Kaiming He, and Piotr Dollár · 2019
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Guided curriculum model adaptation and uncertainty-aware evaluation for semantic nighttime image segmentation
Christos Sakaridis, Dengxin Dai, and Luc Van Gool · 2019
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Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Mathieu Cord, and Patrick Pérez · 2019
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Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data
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An image is worth 16x16 words: Transformers for image recognition at scale
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Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, and Trevor Darrell · 2020
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Kaiyang Zhou, Yongxin Yang, Yu Qiao, and Tao Xiang · 2021
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Normalization perturbation: A simple domain generalization method for real-world domain shifts
Qi Fan, Mattia Segu, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, and Dengxin Dai · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
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Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, et al · 2020
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Fda: Fourier domain adaptation for semantic segmentation
Yanchao Yang and Stefano Soatto · 2020
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Robustnet: Improving domain generalization in urban-scene segmentation via instance selective whitening
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne T Kim, Seungryong Kim, and Jaegul Choo · 2021
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Uncertainty reduction for model adaptation in semantic segmentation
Francois Fleuret et al · 2021
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Fsdr: Frequency space domain randomization for domain generalization
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Model adaptation: Historical contrastive learning for unsupervised domain adaptation without source data
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Wedge: web-image assisted domain generalization for semantic segmentation
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High-resolution image synthesis with latent diffusion models
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Continual test-time domain adaptation
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Siamdoge: Domain generalizable semantic segmentation using siamese network
Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Lili Ju, and Song Wang · 2022
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Style-hallucinated dual consistency learning for domain generalized semantic segmentation
Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, and Gim Hee Lee · 2022
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Transadapt: A transformative framework for online test time adaptive semantic segmentation
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C-sfda: A curriculum learning aided self-training framework for efficient source free domain adaptation
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Yumeng Li, Dan Zhang, Margret Keuper, and Anna Khoreva · 2023
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Augmentation-based domain generalization for semantic segmentation
Manuel Schwonberg, Fadoua El Bouazati, Nico M Schmidt, and Hanno Gottschalk · 2023
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