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 59516000 of 6439 papers

TitleStatusHype
Fairness meets Cross-Domain Learning: a new perspective on Models and MetricsCode0
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel SegmentationCode0
Tilde's Machine Translation Systems for WMT 2017Code0
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label DenoisingCode0
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect FeaturesCode0
Butterfly: One-step Approach towards Wildly Unsupervised Domain AdaptationCode0
MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient DeficienciesCode0
Minimizing f-Divergences by Interpolating Velocity FieldsCode0
MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian DetectionCode0
Semi-Supervised Adversarial Discriminative Domain AdaptationCode0
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable ModelCode0
Building Chinese Biomedical Language Models via Multi-Level Text DiscriminationCode0
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
Time Series Domain Adaptation via Latent Invariant Causal MechanismCode0
Semi-Supervised Deep Learning for Fully Convolutional NetworksCode0
Semi-Supervised Disentangled Framework for Transferable Named Entity RecognitionCode0
NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment AnalysisCode0
Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic SegmentationCode0
FADE: Forecasting for Anomaly Detection on ECGCode0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
FACT: Federated Adversarial Cross TrainingCode0
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label InjectionCode0
Semi-supervised Domain Adaptation for Dependency ParsingCode0
Unsupervised Adaptive NormalizationCode0
Variational Model Perturbation for Source-Free Domain AdaptationCode0
Unsupervised adversarial domain adaptation for acoustic scene classificationCode0
Unsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene ClassificationCode0
Semi-Supervised Domain Adaptation for Wildfire DetectionCode0
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMsCode0
Fact Checking Beyond Training SetCode0
Graph Transfer Learning via Adversarial Domain Adaptation with Graph ConvolutionCode0
Neural Adaptation Layers for Cross-domain Named Entity RecognitionCode0
Neural Domain Adaptation for Biomedical Question AnsweringCode0
Adaptation Algorithms for Neural Network-Based Speech Recognition: An OverviewCode0
Neural Duplicate Question Detection without Labeled Training DataCode0
Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain AdaptationCode0
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax EntropyCode0
FAA-CLIP: Federated Adversarial Adaptation of CLIPCode0
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object DetectionCode0
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty QuantificationCode0
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by AggregationCode0
Building Chinese Biomedical Language Models via Multi-Level Text DiscriminationCode0
Neural Structural Correspondence Learning for Domain AdaptationCode0
Neural Subgraph Isomorphism CountingCode0
DADA: Depth-aware Domain Adaptation in Semantic SegmentationCode0
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentCode0
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation ModelsCode0
Extracting Relationships by Multi-Domain MatchingCode0
Semi-supervised Domain Adaptation via Sample-to-Sample Self-DistillationCode0
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from ImagesCode0
Show:102550
← PrevPage 120 of 129Next →

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