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 11511200 of 6439 papers

TitleStatusHype
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
Temporal Attentive Alignment for Video Domain AdaptationCode1
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain AdaptationCode1
Semi-supervised Domain Adaptation via Minimax EntropyCode1
Bridging Theory and Algorithm for Domain AdaptationCode1
Learning to Transfer Examples for Partial Domain AdaptationCode1
AdaGraph: Unifying Predictive and Continuous Domain Adaptation through GraphsCode1
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain AdaptationCode1
Agnostic Federated LearningCode1
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image SegmentationCode1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural NetworksCode1
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene UnderstandingCode1
Contrastive Adaptation Network for Unsupervised Domain AdaptationCode1
On Minimum Discrepancy Estimation for Deep Domain AdaptationCode1
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Regularized Wasserstein Means for Aligning Distributional DataCode1
Racial Faces in-the-Wild: Reducing Racial Bias by Information Maximization Adaptation NetworkCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
Multi-Adversarial Domain AdaptationCode1
Diverse Image-to-Image Translation via Disentangled RepresentationsCode1
Two at Once: Enhancing Learning and Generalization Capacities via IBN-NetCode1
Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris RecognitionCode1
Variational Wasserstein ClusteringCode1
The Natural Language Decathlon: Multitask Learning as Question AnsweringCode1
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style TransferCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain AdaptationCode1
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided ProceduresCode1
Domain Adaptive Faster R-CNN for Object Detection in the WildCode1
A DIRT-T Approach to Unsupervised Domain AdaptationCode1
SuperPoint: Self-Supervised Interest Point Detection and DescriptionCode1
Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode1
Generalized End-to-End Loss for Speaker VerificationCode1
Learning Wasserstein EmbeddingsCode1
VisDA: The Visual Domain Adaptation ChallengeCode1
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic GraspingCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Self-ensembling for visual domain adaptationCode1
Conditional Adversarial Domain AdaptationCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
Unsupervised Image-to-Image Translation NetworksCode1
Adversarial Discriminative Domain AdaptationCode1
Learning from Simulated and Unsupervised Images through Adversarial TrainingCode1
Correlation Alignment for Unsupervised Domain AdaptationCode1
Deep CORAL: Correlation Alignment for Deep Domain AdaptationCode1
Domain-Adversarial Training of Neural NetworksCode1
Unsupervised Multi-Domain Adaptation with Feature EmbeddingsCode1
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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