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 33013350 of 6439 papers

TitleStatusHype
Learn to Ignore: Domain Adaptation for Multi-Site MRI AnalysisCode0
Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends0
Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency RegularizationCode0
Improving Multi-Party Dialogue Discourse Parsing via Domain IntegrationCode1
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation0
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain AdaptationCode1
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source DataCode1
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning0
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLPCode0
Test-time Batch Statistics Calibration for Covariate Shift0
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student LearningCode0
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class BoundariesCode1
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation0
Long-tailed Distribution AdaptationCode1
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision0
Decoupled Adaptation for Cross-Domain Object DetectionCode1
ClimateGAN: Raising Climate Change Awareness by Generating Images of FloodsCode1
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup SegmentationCode1
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object DetectionCode1
Contextualized Semantic Distance between Highly Overlapped TextsCode0
ACDC: Online Unsupervised Cross-Domain AdaptationCode0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering0
Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge0
Cycle-Consistent World Models for Domain Independent Latent Imagination0
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device0
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation0
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
Fake It Till You Make It: Face analysis in the wild using synthetic data alone0
Domain-Invariant Representation Learning with Global and Local Consistency0
Learning Invariant Representations on Multilingual Language Models for Unsupervised Cross-Lingual Transfer0
Source-Free Few-Shot Domain Adaptation0
Unsupervised Domain Adaptation By Optimal Transportation Of Clusters Between Domains0
Open Set Domain Adaptation with Zero-shot Learning on Graph0
Unleash the Potential of Adaptation Models via Dynamic Domain Labels0
Few-shot graph link prediction with domain adaptation0
Confidence Score Weighting Adaptation for Source-Free Unsupervised Domain Adaptation0
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition0
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation0
Testing-Time Adaptation through Online Normalization Estimation0
Pyramid Mini-Batching for Optimal Transport0
Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent0
Adaptive Unbiased Teacher for Cross-Domain Object Detection0
Inference-Time Personalized Federated Learning0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks0
Privacy Protected Multi-Domain Collaborative Learning0
Topic Aware Neural Language Model: Domain Adaptation of Unconditional Text Generation Models0
How does Contrastive Pre-training Connect Disparate Domains?0
A Systematic Evaluation of Domain Adaptation Algorithms On Time Series Data0
Unsupervised Domain Adaptation Via Pseudo-labels And Objectness Constraints0
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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