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 10011050 of 6439 papers

TitleStatusHype
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
Unsupervised Domain Attention Adaptation Network for Caricature Attribute RecognitionCode1
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic SegmentationCode1
DACS: Domain Adaptation via Cross-domain Mixed SamplingCode1
Learning to Combine: Knowledge Aggregation for Multi-Source Domain AdaptationCode1
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain AdaptationCode1
Unsupervised Multi-Target Domain Adaptation Through Knowledge DistillationCode1
Automated Synthetic-to-Real GeneralizationCode1
Domain Adaptation with Auxiliary Target Domain-Oriented ClassifierCode1
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 PatientsCode1
Scribble-based Domain Adaptation via Co-segmentationCode1
Self domain adapted networkCode1
Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasetsCode1
Estimating Generalization under Distribution Shifts via Domain-Invariant RepresentationsCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Domain Adaptation without Source DataCode1
Continuously Indexed Domain AdaptationCode1
Continuously Index Domain AdaptationCode1
Online Domain Adaptation for Occupancy MappingCode1
Leveraging Temporal Information for 3D Detection and Domain AdaptationCode1
Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer NetworksCode1
Semi-supervised Collaborative Filtering by Text-enhanced Domain AdaptationCode1
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via ClusteringCode1
Rescaling Egocentric VisionCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
CLUB: A Contrastive Log-ratio Upper Bound of Mutual InformationCode1
Progressive Graph Learning for Open-Set Domain AdaptationCode1
Joint Contrastive Learning for Unsupervised Domain AdaptationCode1
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding ModelsCode1
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic SegmentationCode1
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent SearchCode1
Adversarial Weighting for Domain Adaptation in RegressionCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud DetectionCode1
Dataset Condensation with Gradient MatchingCode1
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain AdaptationCode1
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-IDCode1
Network Together: Node Classification via Cross-Network Deep Network EmbeddingCode1
DUNIT: Detection-Based Unsupervised Image-to-Image TranslationCode1
Stochastic Classifiers for Unsupervised Domain AdaptationCode1
Spherical Space Domain Adaptation With Robust Pseudo-Label LossCode1
A2-LINK: Recognizing Disguised Faces via Active Learning and Adversarial Noise based Inter-Domain KnowledgeCode1
Neural Unsupervised Domain Adaptation in NLP---A SurveyCode1
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image SegmentationCode1
Kernel methods library for pattern analysis and machine learning in pythonCode1
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference MeasureCode1
Keep it Simple: Image Statistics Matching for Domain AdaptationCode1
A Joint Pixel and Feature Alignment Framework for Cross-dataset Palmprint RecognitionCode1
Knowledge Graph Simple Question Answering for Unseen DomainsCode1
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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