awsome-domain-adaptation

This repo is a collection of AWESOME things about domain adaptation, including papers, code, etc. Feel free to star and fork.

awsome-domain-adaptation
Contents
Papers
Library
Lectures and Tutorials
Other Resources

Papers

Survey

Arxiv

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

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 General Upper Bound for Unsupervised Domain Adaptation [3 Oct 2019]
On Deep Domain Adaptation: Some Theoretical Understandings [arXiv 15 Nov 2018]

Conference

Bridging Theory and Algorithm for Domain Adaptation [ICML2019] [Pytorch]
On Learning Invariant Representation for Domain Adaptation [ICML2019] [code]
Learning Bounds for Domain Adaptation [NIPS2007]
Analysis of Representations for Domain Adaptation [NIPS2006]

Journal

A theory of learning from different domains [ML2010]

Unsupervised DA

Adversarial Methods

Arxiv

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]

Conference

Adversarial-Learned Loss for Domain Adaptation [AAAI2020]
Adversarial Domain Adaptation with Domain Mixup [AAAI2020] [Pytorch]
Discriminative Adversarial Domain Adaptation [AAAI2020] [Pytorch]
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

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]

Distance-based Methods

Journal

Transferable Representation Learning with Deep Adaptation Networks [TPAMI]

Conference

HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation [AAAI2020] [Tensorflow]
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation [ICCV2019]
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation [AAAI2019]
Residual Parameter Transfer for Deep Domain Adaptation [CVPR2018]
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation [AAAI2018]
Deep CORAL: Correlation Alignment for Deep Domain Adaptation [ECCV2016]
Learning Transferable Features with Deep Adaptation Networks [ICML2015][code]
Unsupervised Domain Adaptation with Residual Transfer Networks [NIPS2016] [code]
Deep Transfer Learning with Joint Adaptation Networks [ICML2017] [code]

Arxiv

Deep Domain Confusion: Maximizing for Domain Invariance [Arxiv 2014]

Optimal Transport

CDOT: Continuous Domain Adaptation using Optimal Transport [20 Sep 2019]
Differentially Private Optimal Transport: Application to Domain Adaptation [IJCAI]
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation [ECCV2018] [Keras]
Joint Distribution Optimal Transportation for Domain Adaptation [NIPS2017] [python] [Python Optimal Transport Library]

Incremental Methods

Incremental Adversarial Domain Adaptation for Continually Changing Environments [ICRA2018]
Continuous Manifold based Adaptation for Evolving Visual Domains [CVPR2014]

Other Methods

Arxiv

Less Confusion More Transferable: Minimum Class Confusion for Versatile Domain Adaptation [8 Dec 2019]
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck [21 Nov 2019]
Deep causal representation learning for unsupervised domain adaptation [28 Oct 2019]
Domain-invariant Learning using Adaptive Filter Decomposition [25 Sep 2019]
Discriminative Clustering for Robust Unsupervised Domain Adaptation [arXiv 30 May 2019]
Virtual Mixup Training for Unsupervised Domain Adaptation [arXiv on 24 May 2019] [Tensorflow]
Learning Smooth Representation for Unsupervised Domain Adaptation [arXiv 26 May 2019]
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation [arXiv 13 Apr 2019]
Easy Transfer Learning By Exploiting Intra-domain Structures [arXiv 2 Apr 2019]
Domain Discrepancy Measure Using Complex Models in Unsupervised Domain Adaptation [arXiv 30 Jan 2019]
Domain Alignment with Triplets [arXiv 22 Jan 2019]
Deep Discriminative Learning for Unsupervised Domain Adaptation [arXiv 17 Nov 2018]

Conference

Domain Adaptive Multiflow Networks [ICLR2020]
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling [AAAI2020] [Matlab]
CUDA: Contradistinguisher for Unsupervised Domain Adaptation [ICDM2019]
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment [ICML2019]
Batch Weight for Domain Adaptation With Mass Shift [ICCV2019]
Switchable Whitening for Deep Representation Learning [ICCV2019] [pytorch]
Confidence Regularized Self-Training [ICCV2019 Oral] [Pytorch]
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation [ICCV2019] [Pytorch(official)]
Transferrable Prototypical Networks for Unsupervised Domain Adaptation [CVPR2019(Oral)]
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation [CVPR2019]
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss [CVPR 2019] [Pytorch]
Domain Specific Batch Normalization for Unsupervised Domain Adaptation [CVPR2019]
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs [CVPR2019] [Pytorch]
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach [CVPR2019] [Project]
Contrastive Adaptation Network for Unsupervised Domain Adaptation [CVPR2019] [Pytorch]
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation [CVPR2019]
Unsupervised Domain Adaptation via Calibrating Uncertainties [CVPRW2019]
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation [IJCAI2019]
Unsupervised Domain Adaptation for Distance Metric Learning [ICLR2019]
Co-regularized Alignment for Unsupervised Domain Adaptation [NIPS2018]
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation [TIP 2018]
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation [ECCV2018]
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation [CVPR2018]
Unsupervised Domain Adaptation with Distribution Matching Machines [AAAI2018]
Learning to cluster in order to transfer across domains and tasks [ICLR2018] [Bolg] [Pytorch]
Self-Ensembling for Visual Domain Adaptation [ICLR2018]
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation [ICLR2018] [TensorFlow]
Associative Domain Adaptation [ICCV2017] [TensorFlow] [Pytorch]
AutoDIAL: Automatic DomaIn Alignment Layers [ICCV2017]
Asymmetric Tri-training for Unsupervised Domain Adaptation [ICML2017] [TensorFlow]
Learning Transferrable Representations for Unsupervised Domain Adaptation [NIPS2016]

Journal

Adaptive Batch Normalization for practical domain adaptation [Pattern Recognition(2018)]
Unsupervised Domain Adaptation by Mapped Correlation Alignment [IEEE ACCESS]

Semi-supervised DA

Arxiv

Reducing Domain Gap via Style-Agnostic Networks [25 Oct 2019]

Conference

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

Weakly-Supervised DA

Arxiv

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

Conference

Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration [CVPR2019]
Transferable Curriculum for Weakly-Supervised Domain Adaptation [AAAI2019]

Zero-shot DA

Arxiv

Conference

Zero-shot Domain Adaptation Based on Attribute Information [ACML2019]
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation [ICCV2019]
Generalized Zero-Shot Learning with Deep Calibration Network NIPS2018
Zero-Shot Deep Domain Adaptation [ECCV2018]

One-shot DA

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning [arxiv]
One-Shot Adaptation of Supervised Deep Convolutional Models [ICLR Workshop 2014]

Few-shot DA

d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding [CVPR2019 Oral]
Few-Shot Adversarial Domain Adaptation [NIPS2017]

Open Set DA

Arxiv

Known-class Aware Self-ensemble for Open Set Domain Adaptation [arXiv 3 May 2019]

Conference

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation [CVPR2019]
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration [CVPR2019]
Learning Factorized Representations for Open-set Domain Adaptation [ICLR2019]
Open Set Domain Adaptation by Backpropagation [ECCV2018] [Pytorch(Official)] [Tensorflow] [Pytorch]
Open Set Domain Adaptation [ICCV2017]

Partial DA

Arxiv

Tackling Partial Domain Adaptation with Self-Supervision [arXiv 12 Jun 2019]
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation [arXiv 26 May 2019]
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation [arXiv 10 May 2019]

Conference

Learning to Transfer Examples for Partial Domain Adaptation [CVPR2019]
Partial Adversarial Domain Adaptation [ECCV2018] [Pytorch(Official)]
Importance Weighted Adversarial Nets for Partial Domain Adaptation [CVPR2018]
Partial Transfer Learning with Selective Adversarial Networks [CVPR2018][paper weekly] [Pytorch(Official) & Caffe(official)]

Universal DA

Conference

Universal Domain Adaptation [CVPR2019] [Pytorch]

Multi Source DA

Arxiv

Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019 [14 Oct 2019]

Conference

Multi-source Distilling Domain Adaptation [AAAI2020] [code]
Multi-source Domain Adaptation for Semantic Segmentation [NeurlPS2019] [Pytorch]
Moment Matching for Multi-Source Domain Adaptation [ICCV2019] [Pytorch]
Multi-Domain Adversarial Learning [ICLR2019] [Torch]
Algorithms and Theory for Multiple-Source Adaptation [NIPS2018]
Adversarial Multiple Source Domain Adaptation [NIPS2018] [Pytorch]
Boosting Domain Adaptation by Discovering Latent Domains [CVPR2018] [Caffe] [Pytorch]
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift [CVPR2018] [Pytorch]

Journal

A survey of multi-source domain adaptation [Information Fusion]

Multi Target DA

Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach [arXiv]

Multi Step DA

Arxiv

Adversarial Domain Adaptation for Stance Detection [arXiv]
Ensemble Adversarial Training: Attacks and Defenses [arXiv]

Conference

Distant domain transfer learning [AAAI2017]

Heterogeneous DA

Heterogeneous Domain Adaptation via Soft Transfer Network [ACM MM2019]

Target-agnostic DA

Arxiv

Compound Domain Adaptation in an Open World [8 Sep 2019]

Conference

Domain Agnostic Learning with Disentangled Representations [ICML2019] [Pytorch]
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks [CVPR2019] [Pytorch]

Federated DA

Arxiv

Federated Adversarial Domain Adaptation [5 Nov 2019]

Model Selection

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation [ICML2019] [Pytorch]

Other Transfer Learning Paradigms

Domain Generalization

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]

Conference

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]
Domain Generalization via Model-Agnostic Learning of Semantic Features [NeurIPS2019] [Tensorflow]
Episodic Training for Domain Generalization [ICCV2019 Oral] [code]
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

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

Domain Randomization

Conference

DeceptionNet: Network-Driven Domain Randomization [ICCV2019]
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data [ICCV2019]

Transfer Metric Learning

Transfer Metric Learning: Algorithms, Applications and Outlooks [arXiv]

Knowledge Transfer

Conference

Attention Bridging Network for Knowledge Transfer [ICCV2019]
Few-Shot Image Recognition with Knowledge Transfer [ICCV2019]

Others

Arxiv

When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets [arXiv 13 Dec 2018]

Conference

Learning Across Tasks and Domains [ICCV2019]
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation [ICCV2019]
Domain Agnostic Learning with Disentangled Representations [ICML2019]
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization [CVPR2019] [Pytorch]

Applications

Object Detection

Arxiv

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]

Conference

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]
Exploring Object Relation in Mean Teacher for Cross-Domain Detection [CVPR2019]
Adapting Object Detectors via Selective Cross-Domain Alignment [CVPR2019]
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]
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

Pixel and feature level based domain adaptation for object detection in autonomous driving [Neurocomputing]

Semantic Segmentation

Arxiv

Class-Conditional Domain Adaptation on Semantic Segmentation [27 Nov 2019]
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation [23 Oct 2019]
Restyling Data: Application to Unsupervised Domain Adaptation [24 Sep 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]

Conference

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]
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)(PDF Coming Soon)]
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency [CVPR2019] [Project]
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]
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]
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes [ICCV2017] [Journal Version]
No more discrimina- tion: Cross city adaptation of road scene segmenters [ICCV2017]

Journal

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]

Person Re-identification

Arxiv

Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification [arXiv 25 May 2019]
Camera Adversarial Transfer for Unsupervised Person Re-Identification [arXiv 2 Apr 2019]
EANet: Enhancing Alignment for Cross-Domain Person Re-identification [arXiv 29 Dec 2018] [Pytorch]
One Shot Domain Adaptation for Person Re-Identification [arXiv 26 Nov 2018]
Similarity-preserving Image-image Domain Adaptation for Person Re-identification [arXiv 26 Nov 2018]

Conference

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification [ICCV2019 Oral] [Pytorch]
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification [ICCV2019]
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification [CVPR2019] [Pytorch]
Domain Adaptation through Synthesis for Unsupervised Person Re-identification [ECCV2018]
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification [CVPR2018]
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification [CVPR2018]

Video Domain Adaptation

Arxiv

Image to Video Domain Adaptation Using Web Supervision [5 Aug 2019]

Conference

Adversarial Cross-Domain Action Recognition with Co-Attention [AAAI2020]
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation [ICCV2019 Oral] [Pytorch]
Temporal Attentive Alignment for Video Domain Adaptation [CVPRW 2019] [Pytorch]

Medical Related

Arxiv

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation [arXiv 29 Aug 2019]
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation [arXiv on 24 Jan 2019]
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling [arXiv 14 Nov 2018]

Conference

Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation [ICCV2019]

Monocular Depth Estimation

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation [CVPR2019]
Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer [CVPR2018]

3D Reconstruction

Conference

Domain-Adaptive Single-View 3D Reconstruction [ICCV2019]

Others

Arxiv

Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation [11 Nov 2019]
DANE: Domain Adaptive Network Embedding [arXiv 3 Jun 2019]
Active Adversarial Domain Adaptation [arXiv 16 Apr 2019]

Conference

Unsupervised Domain Adaptation for 3D Human Pose Estimation [ACM MM2019]
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation [NeurIPS 2019] [code]
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces [ICCV2019]
Cross-Domain Adaptation for Animal Pose Estimation [ICCV2019]
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition [ICCV2019]
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning [IJCNN]
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues [WWW2019]
Cross-Dataset Adaptation for Visual Question Answering [CVPR2018]

Benchmarks

Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation [arXiv 26 Jun] [Project]

Library

Lectures and Tutorials

Other Resources

transferlearning

rkawsar/awesome-domain-adaptation

awsome-domain-adaptation

Contents

Papers

Survey

Theory

Unsupervised DA

Adversarial Methods

Distance-based Methods

Optimal Transport

Incremental Methods

Other Methods

Semi-supervised DA

Weakly-Supervised DA

Zero-shot DA

One-shot DA

Few-shot DA

Open Set DA

Partial DA

Universal DA

Multi Source DA

Multi Target DA

Multi Step DA

Heterogeneous DA

Target-agnostic DA

Federated DA

Model Selection

Other Transfer Learning Paradigms

Domain Generalization

Domain Randomization

Transfer Metric Learning

Knowledge Transfer

Others

Applications

Object Detection

Semantic Segmentation

Person Re-identification

Video Domain Adaptation

Medical Related

Monocular Depth Estimation

3D Reconstruction

Others

Related Topics

Image-to-Image Translation

Disentangled Representation Learning

Benchmarks

Library

Lectures and Tutorials

Other Resources