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 64016439 of 6439 papers

TitleStatusHype
Continual BatchNorm Adaptation (CBNA) for Semantic SegmentationCode0
Progressive Domain Adaptation for Object DetectionCode0
SSPP-DAN: Deep Domain Adaptation Network for Face Recognition with Single Sample Per PersonCode0
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document AnalysisCode0
Domain Consensus Clustering for Universal Domain AdaptationCode0
Approximating a Target Distribution using Weight QueriesCode0
Contextual-Relation Consistent Domain Adaptation for Semantic SegmentationCode0
Progressive Memory Banks for Incremental Domain AdaptationCode0
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation TaskCode0
Contextual Parameter Generation for Universal Neural Machine TranslationCode0
Transferable Normalization: Towards Improving Transferability of Deep Neural NetworksCode0
Domain-Conditioned Transformer for Fully Test-time AdaptationCode0
Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing ImagesCode0
Adaptive Deep Learning through Visual Domain LocalizationCode0
Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse DomainsCode0
Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse DomainsCode0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene SegmentationCode0
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM ResearchCode0
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient AlignmentCode0
Domain Conditional Predictors for Domain AdaptationCode0
Domain Borders Are There to Be Crossed With Federated Few-Shot AdaptationCode0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
Transferable-guided Attention Is All You Need for Video Domain AdaptationCode0
Domain Alignment Meets Fully Test-Time AdaptationCode0
Bidirectional Domain Adaptation Using Weighted Multi-Task LearningCode0
Domain Agnostic Real-Valued Specificity PredictionCode0
Statistical Distance-Guided Unsupervised Domain Adaptation for Automated Multi-Class Cardiovascular Magnetic Resonance Image Quality AssessmentCode0
Prompting Diffusion Representations for Cross-Domain Semantic SegmentationCode0
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep UnrollingCode0
Statistical Inference for Sequential Feature Selection after Domain AdaptationCode0
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to ImproveCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown ExplorationCode0
Domain-Adversarial Neural NetworksCode0
Domain Adaptive Text Style TransferCode0
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matchingCode0
ProtoBeam: Generalizing Deep Beam Prediction to Unseen Antennas using Prototypical NetworksCode0
STEM: An Approach to Multi-Source Domain Adaptation With GuaranteesCode0
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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