【论文合集】Awesome Segmentation Domain Adaptation

图像分割领域适应相关论文

目录

Semi-supervised DA

Weakly-Supervised DA

Unsupervised DA

Survey

Theory

Explainable

Transfer Learning Paradigms

Object Detection

Semantic Segmentation

Library

Lectures and Tutorials

参考

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Semi-supervised DA

Conference

• Multi-level Consistency Learning for Semi-supervised Domain Adaptation [IJCAI 2022]

• AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation [ICLR 2022]

• CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation [NeurIPS]

• Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation [ICCV2021]

• ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation [ICCV2021]

• Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation [CVPR2021]

• Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation [CVPR2021]

• Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation [CVPR2021]

• Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics [CVPRW2021] [Code]

• Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation [ECCV2020]

• Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation [ECCV2020]

• Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation [IJCAI2020]

• Semi-supervised Domain Adaptation via Minimax Entropy [ICCV2019] [Pytorch]

Journal

• Context-guided entropy minimization for semi-supervised domain adaptation [Neural Networks] [pytorch]

Arxiv

• MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation [ 24 Jul 2020]
• Opposite Structure Learning for Semi-supervised Domain Adaptation [6 Feb 2020]
• Reducing Domain Gap via Style-Agnostic Networks [25 Oct 2019]

 

Weakly-Supervised DA

Conference

• Towards Accurate and Robust Domain Adaptation under Noisy Environments [IJCAI2020]
• Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration [CVPR2019]
• Transferable Curriculum for Weakly-Supervised Domain Adaptation [AAAI2019]

Arxiv

• Butterfly: Robust One-step Approach towards Wildly-unsupervised Domain Adaptation [arXiv on 19 May 2019]

Unsupervised DA

Adversarial Methods

Conference

• Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation [CVPR2022] [Pytorch]
• A Closer Look at Smoothness in Domain Adversarial Training [ICML2022] [Pytorch]
• ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation [NeurIPS2021] [Pytorch]
• Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate [ICCV2021]
• Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation [ICCV2021]
• Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation [ICCV2021]
• Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation [CVPR2021] [Pytorch]
• MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation [CVPR2021] [Pytorch]
• Self-adaptive Re-weighted Adversarial Domain Adaptation [IJCAI2020]
• DIRL: Domain-Invariant Reperesentation Learning Approach for Sim-to-Real Transfer [CoRL2020] [Project]
• Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation [ECCV2020] [PyTorch]
• Gradually Vanishing Bridge for Adversarial Domain Adaptation [CVPR2020] [Pytorch]
• Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation [ICML2020] [Pytorch]
• Adversarial-Learned Loss for Domain Adaptation [AAAI2020]
• Structure-Aware Feature Fusion for Unsupervised Domain Adaptation [AAAI2020]
• Adversarial Domain Adaptation with Domain Mixup [AAAI2020] [Pytorch]
• Discriminative Adversarial Domain Adaptation [AAAI2020] [Pytorch]
• Bi-Directional Generation for Unsupervised Domain Adaptation [AAAI2020]
• Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning [ICASSP 2020]
• Curriculum based Dropout Discriminator for Domain Adaptation [BMVC2019] [Project]
• Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition [IJCNN2019] [Matlab]
• Transfer Learning with Dynamic Adversarial Adaptation Network [ICDM2019]
• Joint Adversarial Domain Adaptation [ACM MM2019]
• Cycle-consistent Conditional Adversarial Transfer Networks [ACM MM2019] [Pytorch]
• Learning Disentangled Semantic Representation for Domain Adaptation [IJCAI2019] [Tensorflow]
• Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation [ICML2019] [Pytorch]
• Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers [ICML2019] [Pytorch]
• Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation [ICCV2019] [PyTorch]
• Cluster Alignment with a Teacher for Unsupervised Domain Adaptation [ICCV2019] [Tensorflow]
• Unsupervised Domain Adaptation via Regularized Conditional Alignment [ICCV2019]
• Attending to Discriminative Certainty for Domain Adaptation [CVPR2019] [Project]
• GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation [CVPR2019]
• Domain-Symmetric Networks for Adversarial Domain Adaptation [CVPR2019] [Pytorch]
• DLOW: Domain Flow for Adaptation and Generalization [CVPR2019 Oral]
• Progressive Feature Alignment for Unsupervised Domain Adaptation [CVPR2019] [Tensorflow]
• Gotta Adapt ’Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild [CVPR2019]
• Looking back at Labels: A Class based Domain Adaptation Technique [IJCNN2019] [Project]
• Consensus Adversarial Domain Adaptation [AAAI2019]
• Transferable Attention for Domain Adaptation [AAAI2019]
• Exploiting Local Feature Patterns for Unsupervised Domain Adaptation [AAAI2019]
• Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation [ICLR2019]
• Conditional Adversarial Domain Adaptation [NIPS2018] [Pytorch(official)] [Pytorch(third party)]
• Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model [ECCV2018]
• Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization [ECCV2018]
• Learning Semantic Representations for Unsupervised Domain Adaptation [ICML2018] [TensorFlow(Official)]
• CyCADA: Cycle-Consistent Adversarial Domain Adaptation [ICML2018] [Pytorch(official)]
• From source to target and back: Symmetric Bi-Directional Adaptive GAN [CVPR2018] [Keras(Official)] [Pytorch]
• Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation [CVPR2018] [Tensorflow]
• Maximum Classifier Discrepancy for Unsupervised Domain Adaptation [CVPR2018] [Pytorch(Official)]
• Adversarial Feature Augmentation for Unsupervised Domain Adaptation [CVPR2018] [TensorFlow(Official)]
• Duplex Generative Adversarial Network for Unsupervised Domain Adaptation [CVPR2018] [Pytorch(Official)]
• Generate To Adapt: Aligning Domains using Generative Adversarial Networks [CVPR2018] [Pytorch(Official)]
• Image to Image Translation for Domain Adaptation [CVPR2018]
• Unsupervised Domain Adaptation with Similarity Learning [CVPR2018]
• Conditional Generative Adversarial Network for Structured Domain Adaptation [CVPR2018]
• Collaborative and Adversarial Network for Unsupervised Domain Adaptation [CVPR2018] [Pytorch]
• Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation [CVPR2018]
• Multi-Adversarial Domain Adaptation [AAAI2018] [Caffe(Official)]
• Wasserstein Distance Guided Representation Learning for Domain Adaptation [AAAI2018] [TensorFlow(official)] [Pytorch]
• Incremental Adversarial Domain Adaptation for Continually Changing Environments [ICRA2018]
• Adversarial Dropout Regularization [ICLR2018]
• A DIRT-T Approach to Unsupervised Domain Adaptation [ICLR2018 Poster] [Tensorflow(Official)]
• Label Efficient Learning of Transferable Representations acrosss Domains and Tasks [NIPS2017] [Project]
• Adversarial Discriminative Domain Adaptation [CVPR2017] [Tensorflow(Official)] [Pytorch]
• Unsupervised Pixel–Level Domain Adaptation with Generative Adversarial Networks [CVPR2017] [Tensorflow(Official)] [Pytorch]
• Domain Separation Networks [NIPS2016]
• Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation [ECCV2016]
• Domain-Adversarial Training of Neural Networks [JMLR2016]
• Unsupervised Domain Adaptation by Backpropagation [ICML2015] [Caffe(Official)] [Tensorflow] [Pytorch]

Journal

• Incremental Unsupervised Domain-Adversarial Training of Neural Networks [TNNLS 2020]
• Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice [TPAMI2020] [PyTroch]
• Adversarial Learning and Interpolation Consistency for Unsupervised Domain Adaptation [IEEE ACCESS]
• TarGAN: Generating target data with class labels for unsupervised domain adaptation [Knowledge-Based Systems]

Arxiv

• Bi-Directional Generation for Unsupervised Domain Adaptation [12 Feb 2020]
• Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation [19 Feb 2020] [Tensorflow]
• Learning Domain Adaptive Features with Unlabeled Domain Bridges [10 Dec 2019]
• Reducing Domain Gap via Style-Agnostic Networks [25 Oct 2019]
• Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment [23 Oct 2019]
• Adversarial Variational Domain Adaptation [25 Sep 2019]
• Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation [arXiv 13 Sep 2019]
• SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation [arXiv 11 Jun 2019]
• Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation [arXiv 10 Jun 2019]
• Adversarial Domain Adaptation Being Aware of Class Relationships [arXiv 28 May 2019]
• Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption [arXiv 30 Nov 2018]
• Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks [arXiv 17 Feb 2019]
• DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification [arXiv 30 Dec 2018]
• Unsupervised Domain Adaptation using Generative Models and Self-ensembling [arXiv 2 Dec 2018]
• Domain Confusion with Self Ensembling for Unsupervised Adaptation [arXiv 10 Oct 2018]
• Improving Adversarial Discriminative Domain Adaptation [arXiv 10 Sep 2018]
• M-ADDA: Unsupervised Domain Adaptation with Deep Metric Learning [arXiv 6 Jul 2018] [Pytorch(official)]
• Factorized Adversarial Networks for Unsupervised Domain Adaptation [arXiv 4 Jun 2018]
• DiDA: Disentangled Synthesis for Domain Adaptation [arXiv 21 May 2018]
• Unsupervised Domain Adaptation with Adversarial Residual Transform Networks [arXiv 25 Apr 2018]
• Causal Generative Domain Adaptation Networks [arXiv 28 Jun 2018]

Survey

Arxiv

• Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey [17 Nov 2022] [project]
• A Survey on Deep Domain Adaptation for LiDAR Perception [7 Jun 2021]
• A Comprehensive Survey on Transfer Learning [7 Nov 2019]
• Transfer Adaptation Learning: A Decade Survey [12 Mar 2019]
• A review of single-source unsupervised domain adaptation [16 Jan 2019]
• An introduction to domain adaptation and transfer learning [31 Dec 2018]
• A Survey of Unsupervised Deep Domain Adaptation [6 Dec 2018]
• Transfer Learning for Cross-Dataset Recognition: A Survey [2017]
• Domain Adaptation for Visual Applications: A Comprehensive Survey [2017]

Journal

• A Review of Single-Source Deep Unsupervised Visual Domain Adaptation [TNNLS 2020]
• Deep Visual Domain Adaptation: A Survey [Neurocomputing 2018]
• A Survey on Deep Transfer Learning [ICANN2018]
• Visual domain adaptation: A survey of recent advances [2015]

Theory

Arxiv

• A Theory of Label Propagation for Subpopulation Shift [22 Feb 2021]
• A General Upper Bound for Unsupervised Domain Adaptation [3 Oct 2019]
• On Deep Domain Adaptation: Some Theoretical Understandings [arXiv 15 Nov 2018]

Conference

• Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift [NeurIPS 2020]
• Bridging Theory and Algorithm for Domain Adaptation [ICML2019] [Pytorch]
• On Learning Invariant Representation for Domain Adaptation [ICML2019] [code]
• Unsupervised Domain Adaptation Based on Source-guided Discrepancy [AAAI2019]
• Learning Bounds for Domain Adaptation [NIPS2007]
• Analysis of Representations for Domain Adaptation [NIPS2006]

Journal

• On a Regularization of Unsupervised Domain Adaptation in RKHS [ACHA2021]
• Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice [TPAMI2020] [PyTroch]
• On generalization in moment-based domain adaptation [AMAI2020]
• A theory of learning from different domains [ML2010]

Explainable

Conference

• Visualizing Adapted Knowledge in Domain Transfer [CVPR2021] [Pytorch]

 

Transfer Learning Paradigms

Domain Generalization

Conference

• Sparse Mixture-of-Experts are Domain Generalizable Learners [ICLR2023(Oral)] [Pytorch]
• Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts [NeruIPS2022] [Pytorch]
• Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation [ECCV 2022] [Pytorch]
• Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification [CVPR 2021] [Pytorch]
• Domain Generalization via Inference-time Label-Preserving Target Projections [CVPR2021] [Pytorch]
• Domain Generalization via Entropy Regularization [NeurIPS2020] [Pytorch]
• Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization [NeurIPS2020]
• Learning to Learn with Variational Information Bottleneck for Domain Generalization [ECCV2020]
• Self-Challenging Improves Cross-Domain Generalization [ECCV2020] [Pytorch]
• Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization [ECCV2020] [Pytorch]
• Learning to Balance Specificity and Invariance for In and Out of Domain Generalization [ECCV2020] [Pytorch]
• Learning to Generate Novel Domains for Domain Generalization [ECCV2020]
• Learning to Optimize Domain Specific Normalization for Domain Generalization [ECCV2020]
• Towards Recognizing Unseen Categories in Unseen Domains [ECCV2020] [Pytorch]
• Efficient Domain Generalization via Common-Specific Low-Rank Decomposition [ICML2020] [Pytorch]
• Learning to Learn Single Domain Generalization [CVPR2020] [Pytorch]
• Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition [ICLR2020]
• Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation [ICLR2020]
• Domain Generalization Using a Mixture of Multiple Latent Domains [AAAI2020] [Pytorch]
• Deep Domain-Adversarial Image Generation for Domain Generalisation [Paper] [Pytorch]
• Domain Generalization via Model-Agnostic Learning of Semantic Features [NeurIPS2019] [Tensorflow]
• Episodic Training for Domain Generalization [ICCV2019 Oral] [Pytorch]](GitHub - HAHA-DL/Episodic-DG: This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113)
• Feature-Critic Networks for Heterogeneous Domain Generalization [ICML2019] [Pytorch]
• Domain Generalization by Solving Jigsaw Puzzles [CVPR2019 Oral] [Pytorch]
• MetaReg: Towards Domain Generalization using Meta-Regularization [NIPS2018]
• Deep Domain Generalization via Conditional Invariant Adversarial Networks [ECCV2018]
• Domain Generalization with Adversarial Feature Learning [CVPR2018]

Journal

• Domain Generalization for Regression [IntellManuf2020]
• Correlation-aware Adversarial Domain Adaptation and Generalization [Pattern Recognition(2019)] [code]

Arxiv

• Adversarial Pyramid Network for Video Domain Generalization [8 Dec 2019]
• Towards Shape Biased Unsupervised Representation Learning for Domain Generalization [18 Sep 2019]
• A Generalization Error Bound for Multi-class Domain Generalization [24 May 2019]
• Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization [29 Apr 2019]
• Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models [9 Dec 2018]

Object Detection

Survey

• Unsupervised Domain Adaptation of Object Detectors: A Survey [Arxiv 27 May 2021]

Conference

• Towards Robust Adaptive Object Detection under Noisy Annotations [CVPR2022] [PyTorch]
• H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection [CVPR2022] [PyTorch] [PaddlePaddle]
• Cross-Domain Adaptive Teacher for Object Detection [CVPR2022] [Project] [PyTorch]
• Task-specific Inconsistency Alignment for Domain Adaptive Object Detection [CVPR2022] [PyTorch]
• SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection [CVPR2022] [PyTorch]
• Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation [CVPR2022]
• Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection [CVPR2022]
• Cross Domain Object Detection by Target-Perceived Dual Branch Distillation [CVPR2022]
• Decoupled Adaptation for Cross-Domain Object Detection [ICLR2022] [PyTorch]
• SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation [AAAI2022] [PyTorch]
• SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection [NeurIPS2021] [Project]
• Multi-Source Domain Adaptation for Object Detection [ICCV2021]
• Knowledge Mining and Transferring for Domain Adaptive Object Detection [ICCV2021]
• Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection [ICCV2021]
• Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection [ICCV2021]
• Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection [CVPR2021]
• MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection [CVPR2021]
• SRDAN: Scale-aware and Range-aware Domain Adaptation Network for Cross-dataset 3D Object Detection [CVPR2021]
• I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors [CVPR2021]
• RPN Prototype Alignment for Domain Adaptive Object Detector [CVPR2021]
• ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection [CVPR2021]
• Domain-Specific Suppression for Adaptive Object Detection [CVPR2021]
• Unbiased Mean Teacher for Cross-Domain Object Detection [CVPR2021]
• YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models [ECCV2020]
• Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection [ECCV2020]
• One-Shot Unsupervised Cross-Domain Detection [ECCV2020]
• Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector [ECCV2020]
• Adapting Object Detectors with Conditional Domain Normalization [ECCV2020]
• Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions [ECCV2020]
• Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN [ECCV2020]
• Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation [CVPR2020]
• Harmonizing Transferability and Discriminability for Adapting Object Detectors [CVPR2020] [code]
• Exploring Categorical Regularization for Domain Adaptive Object Detection [CVPR2020] [code]
• Cross-domain Detection via Graph-induced Prototype Alignment [CVPR2020 Oral] [code]
• Multi-spectral Salient Object Detection by Adversarial Domain Adaptation [Paper]
• Deep Domain Adaptive Object Detection: a Survey [ICIP2020]
• Progressive Domain Adaptation for Object Detection [WACV]
• Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night [IJCNN2019 Oral] [Project]
• Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection [ICCV2019 Oral]
• A Robust Learning Approach to Domain Adaptive Object Detection [ICCV2019] [code]
• Multi-adversarial Faster-RCNN for Unrestricted Object Detection [ICCV2019]
• Few-Shot Adaptive Faster R-CNN [CVPR2019]
• Exploring Object Relation in Mean Teacher for Cross-Domain Detection [CVPR2019]
• Adapting Object Detectors via Selective Cross-Domain Alignment [CVPR2019] [Pytorch]
• Automatic adaptation of object detectors to new domains using self-training [CVPR2019] [Project]
• Towards Universal Object Detection by Domain Attention [CVPR2019]
• Strong-Weak Distribution Alignment for Adaptive Object Detection [CVPR2019] [Pytorch]
• Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection [CVPR2019] [Pytorch]
• Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation [CVPR2018]
• Domain Adaptive Faster R-CNN for Object Detection in the Wild [CVPR2018] [Caffe2] [Caffe] [Pytorch(under developing)]

Journal

• Cross-domain object detection using unsupervised image translation [ESWA]
• Pixel and feature level based domain adaptation for object detection in autonomous driving [Neurocomputing]

Arxiv

• See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation [17 Nov 2021]
• Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation [3 Feb 2020]
• Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions [29 Nov 2019]
• Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning [17 Nov 2019]
• Curriculum Self-Paced Learning for Cross-Domain Object Detection [15 Nov 2019]
• SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses [6 Nov 2019]

Semantic Segmentation

Conference

• Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions [WACV 2023] [Pytorch]
• Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation [NeruIPS 2022] [Pytorch]
• DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation [ECCV 2022] [Pytorch]
• HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation [ECCV 2022] [Pytorch]
• Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation [ECCV 2022] [Pytorch]
• DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation [CVPR 2022] [Pytorch]
• Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation [WACV 2022]
• Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries [WACV 2022]
• Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation [NeurIPS2021]
• Dual Path Learning for Domain Adaptation of Semantic Segmentation [ICCV2021]
• Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation [ICCV2021]
• Multi-Anchor Active Domain Adaptation for Semantic Segmentation [ICCV2021]
• LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation [ICCV2021]
• Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images [ICCV2021]
• Geometric Unsupervised Domain Adaptation for Semantic Segmentation [ICCV2021]
• Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation [ICCV2021]
• BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation [ICCV2021]
• BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation [ICCV2021]
• Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation [ICCV2021]
• Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation [ICCV2021]
• Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation [ICCV2021]
• DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images [CVPR2021]
• DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation [CVPR2021]
• Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation [CVPR2021]
• Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds [CVPR2021]
• Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation [CVPR2021]
• PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training [CVPR2021] [Pytorch]
• Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation [CVPR2021] [Pytorch]
• Cross-View Regularization for Domain Adaptive Panoptic Segmentation [CVPR2021]
• Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation [CVPR2021]
• MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation [CVPR2021]
• Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization [CVPR2021]
• Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation [CVPR2021]
• Source-Free Domain Adaptation for Semantic Segmentation [CVPR2021]
• Instance Adaptive Self-Training for Unsupervised Domain Adaptation [ECCV 2020] [Pytorch]
• Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning [ICASSP 2020]
• Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation [NeurlIPS 2020] [Pytorch]
• Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation [NeurIPS2020] [Pytorch]
• Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation [BMVC2020]
• Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation [ECCV2020]
• Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation [ECCV2020]
• Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation [ECCV2020]
• Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search [ECCV2020]
• Domain Adaptive Semantic Segmentation Using Weak Labels [ECCV2020]
• Content-Consistent Matching for Domain Adaptive Semantic Segmentation [ECCV2020] [PyTorch]
• Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer [CVPR2020]
• Phase Consistent Ecological Domain Adaptation [CVPR2020] [Pytorch]
• FDA: Fourier Domain Adaptation for Semantic Segmentation [CVPR2020] [Pytorch]
• Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting [CVPR2020]
• Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision [CVPR2020 Oral] [Pytorch]
• Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation [CVPR2020]
• Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation [CVPR2020] [Pytorch]
• xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation [CVPR2020] [Demo] [code]
• Unsupervised Scene Adaptation with Memory Regularization in vivo [IJCAI2020] [code]
• Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation [AAAI2020]
• An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation [AAAI2020]
• Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation [NeurIPS2019] [code]
• MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling [WACV2020]
• Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation [WACV2020]
• Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation [ICCV2019]
• Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach [ICCV2019] [Pytorch]
• SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation [ICCV2019]
• Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation [ICCV2019]
• Domain Adaptation for Semantic Segmentation with Maximum Squares Loss [ICCV2019] [Pytorch]
• Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation [ICCV2019]
• DADA: Depth-aware Domain Adaptation in Semantic Segmentation [ICCV2019] [code]
• Domain Adaptation for Structured Output via Discriminative Patch Representations [ICCV2019 Oral] [Project]
• Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection [CVPR2019(Oral)]
• CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency [CVPR2019] [Project] [Pytorch]
• Bidirectional Learning for Domain Adaptation of Semantic Segmentation [CVPR2019] [Pytorch]
• Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach [CVPR2019]
• All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation [CVPR2019] [Pytorch]
• DLOW: Domain Flow for Adaptation and Generalization [CVPR2019 Oral]
• Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation [CVPR2019 Oral] [Pytorch]
• ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation [CVPR2019 Oral] [Pytorch]
• SPIGAN: Privileged Adversarial Learning from Simulation [ICLR2019]
• Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation [ECCV2018]
• Domain transfer through deep activation matching [ECCV2018]
• Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training [ECCV2018] [Pytorch]
• DCAN: Dual channel-wise alignment networks for unsupervised scene adaptation [ECCV2018]
• Fully convolutional adaptation networks for semantic segmentation [CVPR2018]
• Learning to Adapt Structured Output Space for Semantic Segmentation [CVPR2018] [Pytorch]
• Conditional Generative Adversarial Network for Structured Domain Adaptation [CVPR2018]
• Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation [CVPR2018] [Pytorch]
• Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes [ICCV2017] [Journal Version] [Keras]
• No more discrimination: Cross city adaptation of road scene segmenters [ICCV2017]

Journal

• Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation [TIP2022][Pytorch]
• Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation [IJCV2020][Pytorch]
• Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet [Neurocomputing 2021] [Pytorch]
• Affinity Space Adaptation for Semantic Segmentation Across Domains [TIP2020][Pytorch]
• Semantic-aware short path adversarial training for cross-domain semantic segmentation [Neurocomputing 2019]
• Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes [TIP]

Arxiv

• Class-Conditional Domain Adaptation on Semantic Segmentation [27 Nov 2019]
• Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation [2 Sep 2019]
• FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation [8 Dec 2016]
• BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unconstrained Environments [13 Oct 2020][Pytorch]
• SAfE: Self-Attention Based Unsupervised Road Safety Classification in Hazardous Environments [27 Nov 2020][Pytorch]
• Semantics-aware Multi-modal Domain Translation:From LiDAR Point Clouds to Panoramic Color Images [26 Jun 2021] [Pytorch]

Library

• Transfer-Learning-Library
• deep-transfer-learning: a PyTorch library for deep transfer learning
• salad: a Semi-supervised Adaptive Learning Across Domains
• Dassl: a PyTorch toolbox for domain adaptation and semi-supervised learning

Lectures and Tutorials

• A Primer on Domain Adaptation [PDF]

参考

Seg-Uncertainty/awesome-SegDA at master · layumi/Seg-Uncertainty · GitHub

GitHub - zhaoxin94/awesome-domain-adaptation: A collection of AWESOME things about domian adaptation