augmenting the domain-invariant representation that facilitates domain generalization. Furthermore, this paradigm provides the potential to utilize unlabeled data. Building upon denoising training, we propose Denoising Test Time Adaptation (DeTTA) that further: (i) adapts the model to the target domain ...
This paper presents a tensor alignment (TA) based domain adaptation method for hyperspectral image (HSI) classification. To be specific, HSIs in both domains are first segmented into superpixels and tensors of both domains are constructed to include neighboring samples from single superpixel. Then ...
CDDnet: Cross-domain denoising network for low-dose CT image via local and global information alignment JiaxinHuang, ...XiaorongPu, inComputers in Biology and Medicine, 2023 2.2Domain adaptation Domain adaptationis a critical research area within the fieldof transfer learning, aiming to adapt models...
Y. (2023). Podia-3D: Domain adaptation of 3d generative model across large domain gap using pose-preserved text-to-image diffusion. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 22603–22612). Kim, S., Kang, K., Kim, G., Baek, S. H., & Cho, S....
《Rethinking Deep Image Prior for Denoising》(ICCV 2021) GitHub: github.com/gistvision/DIP-denosing《Active Domain Adaptation via Clustering UNcertainty-weighted Embeddings》(ICCV 2021) GitHub: github.com/virajprabhu/CLUE《DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation》(...
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation [ECCV2020] Arxiv Unsupervised Domain Adaptation through Self-Supervision [arXiv 26 Sep 2019] Transformer-based Methods Conference Safe Self-Refinement for Transformer-Based Domain Adaptation [CVPR2022] [Pytorch Other Metho...
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization deep-learningsemi-supervised-learningself-trainingtransfer-learningimage-translationadversarial-learningdomain-adaptationfinetuneunsupervised-domain-adaptationdannout-of-distribution-generalization ...
Rather than learning separate models for each domain, we explore systems that learn across multiple domains. We develop a new multi-domain online learning framework based on parameter combination from multiple classifiers. Our algorithms draw from multi-task learning and domain adaptation to adapt ...
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation [ECCV2020] Arxiv Unsupervised Domain Adaptation through Self-Supervision [arXiv 26 Sep 2019] Other Methods Conference Revisiting Unsupervised Domain Adaptation Models: a Smoothness Perspective [ACCV2022] [Pytorch] Reducing ...
Domain Adaptation for Image Dehazing [CVPR2020] Probability Weighted Compact Feature for Domain Adaptive Retrieval [CVPR2020] [code] Disparity-Aware Domain Adaptation in Stereo Image Restoration [CVPR2020] Multi-Path Learning for Object Pose Estimation Across Domains [CVPR2020] Unsupervised Domain Adaptati...