SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 55515600 of 6439 papers

TitleStatusHype
Unsupervised Domain Adaptation by Adversarial Learning for Robust Speech Recognition0
Leveraging Motion Priors in Videos for Improving Human Segmentation0
Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation0
Adaptively Transforming Graph Matching0
Two at Once: Enhancing Learning and Generalization Capacities via IBN-NetCode1
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation0
Simultaneous Adversarial Training - Learn from Others Mistakes0
Filter Distillation for Network Compression0
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect FeaturesCode0
Visual Domain Adaptation with Manifold Embedded Distribution Alignment0
Unsupervised Online Multitask Learning of Behavioral Sentence Embeddings0
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images0
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation0
Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models0
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris RecognitionCode1
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation0
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio0
Zero-shot Domain Adaptation without Domain Semantic Descriptors0
End-to-End Race Driving with Deep Reinforcement Learning0
M-ADDA: Unsupervised Domain Adaptation with Deep Metric LearningCode0
Kitting in the Wild through Online Domain Adaptation0
Learning Semantic Representations for Unsupervised Domain AdaptationCode0
Domain Adaptation for Disease Phrase Matching with Adversarial Networks0
Named-Entity Tagging and Domain adaptation for Better Customized Translation0
Toward Cross-Domain Engagement Analysis in Medical Notes0
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine TranslationCode0
Natural Language Inference with Definition Embedding Considering Context On the Fly0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NERCode0
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction0
Examining Temporality in Document ClassificationCode0
Translating a Language You Don't Know In the Chinese Room0
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification0
Augmented Cyclic Adversarial Learning for Low Resource Domain AdaptationCode0
Unsupervised Natural Image Patch Learning0
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport0
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation0
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps0
Variational Wasserstein ClusteringCode1
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts0
The Natural Language Decathlon: Multitask Learning as Question AnsweringCode1
Statistical Optimal Transport via Factored Couplings0
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images0
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention0
Right for the Right Reason: Training Agnostic Networks0
Best sources forward: domain generalization through source-specific nets0
Age and Gender Classification From Ear Images0
There Are Many Consistent Explanations of Unlabeled Data: Why You Should AverageCode0
A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition0
Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse DomainsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified