SOTAVerified

Unsupervised Domain Adaptation

Unsupervised Domain Adaptation is a learning framework to transfer knowledge learned from source domains with a large number of annotated training examples to target domains with unlabeled data only.

Source: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation

Papers

Showing 13011350 of 1951 papers

TitleStatusHype
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters0
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging0
PROTEST-ER: Retraining BERT for Protest Event Extraction0
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation0
Conditional Bures Metric for Domain Adaptation0
Addressing materials' microstructure diversity using transfer learning0
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate0
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach0
Unsupervised Domain Adaptation for Video Semantic Segmentation0
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage DiagnosisCode0
Domain Adaptation without Model Transferring0
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling0
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters0
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction0
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position HeatmapCode0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation0
EndoUDA: A modality independent segmentation approach for endoscopy imaging0
Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningCode0
Memory-aware curriculum federated learning for breast cancer classificationCode0
Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation0
Learning Multiple Semantic Knowledge For Cross-Domain Unsupervised Vehicle Re-Identification0
MixStyle Neural Networks for Domain Generalization and Adaptation0
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation0
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition0
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation0
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization0
Cross-domain error minimization for unsupervised domain adaptationCode0
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation0
Secure Domain Adaptation with Multiple SourcesCode0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis0
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation0
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation0
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition0
CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head RedirectionCode0
Spatio-temporal Contrastive Domain Adaptation for Action Recognition0
Uncertainty Reduction for Model Adaptation in Semantic Segmentation0
Transferable Query Selection for Active Domain Adaptation0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021: Team M3EM Technical Report0
On the Effectiveness of Poisoning against Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization0
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification0
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation0
Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation0
Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification0
Graph Domain Adaptation: A Generative View0
Spectral Unsupervised Domain Adaptation for Visual Recognition0
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection0
Cross-domain Contrastive Learning for Unsupervised Domain AdaptationCode0
Frustratingly Easy Uncertainty Estimation for Distribution Shift0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP84.4Unverified
2EvoADAmAP84.3Unverified
3LF2mAP83.2Unverified
4AWBmAP80.6Unverified
5CCTSEmAP78.4Unverified
6SpCLmAP76.7Unverified
7MMTmAP71.2Unverified
8SDAmAP70Unverified
9AD-ClustermAP68.3Unverified
10ECN++mAP63.8Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP74.8Unverified
2LF2mAP73.5Unverified
3CCTSEmAP72.6Unverified
4EvoADAmAP71.4Unverified
5AWBmAP71Unverified
6SpCLmAP68.8Unverified
7MMTmAP65.1Unverified
8SDAmAP61.4Unverified
9SNRmAP58.1Unverified
10ACTmAP54.5Unverified
#ModelMetricClaimedVerifiedStatus
1ALDI++(Resnet50+FPN)mAP@0.566.8Unverified
2RT-DATR(640x640, real-time)mAP@0.552.7Unverified
3MRTmAP@0.551.2Unverified
4DDTmAP@0.550Unverified
5MICmAP@0.547.6Unverified
6O2netmAP@0.546.8Unverified
7LGCL (supervised)mAP@0.546.7Unverified
8LGCL (unsupervised)mAP@0.545.3Unverified
9SADmAP@0.545.2Unverified
10AWADAmAP@0.544.8Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy91.4Unverified
2TransAdapter-BAccuracy89.4Unverified
3SAMBAccuracy86.2Unverified
4PDA (CLIP, ViT-B/16)Accuracy85.7Unverified
5SSRT-BAccuracy85.43Unverified
6EUDAAccuracy84.9Unverified
7ProDeAccuracy84.5Unverified
8ECB (CNN)Accuracy81.2Unverified
9CDTransAccuracy80.5Unverified
10JAN [cite:ICML17JAN]Accuracy76.8Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP44.1Unverified
2CORE-ReIDmAP41.9Unverified
3CORE-ReID V2 TinymAP35.8Unverified
4CCTSEmAP33.2Unverified
5UMDAmAP32.7Unverified
6AWBmAP30.6Unverified
7SpClmAP25.4Unverified
8SDAmAP23.2Unverified
9MMTmAP22.9Unverified
10DG-Net++mAP22.1Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 (baseline), BatchNorm Adaptation, 8 samplesmean Corruption Error (mCE)65Unverified
2ResNet50 (baseline), BatchNorm Adaptation, full adaptationmean Corruption Error (mCE)62.2Unverified
3ResNet50 + ENTmean Corruption Error (mCE)51.6Unverified
4ResNet50 + RPLmean Corruption Error (mCE)50.5Unverified
5ResNet50+DeepAug+AugMix, BatchNorm Adaptation, 8 samplesmean Corruption Error (mCE)48.4Unverified
6ResNet50+DeepAug+AugMix, BatchNorm Adaptation, full adaptationmean Corruption Error (mCE)45.4Unverified
7ResNeXt101 32x8d + ENTmean Corruption Error (mCE)44.3Unverified
8ResNeXt101 32x8d + RPLmean Corruption Error (mCE)43.2Unverified
9ResNeXt101 32x8d + IG-3.5B + RPLmean Corruption Error (mCE)40.9Unverified
10ResNeXt101 32x8d + IG-3.5B + ENTmean Corruption Error (mCE)40.8Unverified
#ModelMetricClaimedVerifiedStatus
1MIC+CSImIoU (13 classes)75.9Unverified
2DCFmIoU (13 classes)75.9Unverified
3DIDAmIoU (13 classes)70.1Unverified
4Sepico + HIASTmIoU (13 classes)68.1Unverified
5CLUDA+HRDAmIoU67.2Unverified
6SePiCo (DeepLabv2 ResNet-101)mIoU (13 classes)66.5Unverified
7G2LmIoU (13 classes)64.4Unverified
8DAFormer+CSImIoU61.4Unverified
9FAFSmIoU (13 classes)61.4Unverified
10AdaptSeg + HIASTmIoU (13 classes)60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP49.5Unverified
2MATNet+DMDUmAP49.25Unverified
3MGR-GCLmAP48.73Unverified
4PLMmAP47.37Unverified
5CSP+FCDmAP45.6Unverified
6PALmAP42.04Unverified
7CORE-ReID V2 TinymAP40.17Unverified
8SPCLmAP38.9Unverified
9UDARmAP35.8Unverified
10MMTmAP35.3Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP45.2Unverified
2CCTSEmAP34.5Unverified
3AWBmAP30.7Unverified
4SpCLmAP26.5Unverified
5SDAmAP25.6Unverified
6MMTmAP23.3Unverified
7MMCLmAP16.2Unverified
8ECN++mAP16Unverified
9SSGmAP13.3Unverified
10ECNmAP10.2Unverified
#ModelMetricClaimedVerifiedStatus
1ALDI++mAP@0.577.8Unverified
2ALDI-YOLOmAP@0.575Unverified
3MIC(ALDI frame)mAP@0.573.1Unverified
4AT(ALDI frame)mAP@0.572Unverified
5SADA(ALDI frame)mAP@0.571.8Unverified
6PT(ALDI frame)mAP@0.570.6Unverified
7RT-DATR(real-time, 640x640)mAP@0.567.2Unverified
8DDTmAP@0.564Unverified
9MRTmAP@0.562Unverified
10MILAmAP@0.557.4Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP57.99Unverified
2CORE-ReID V2 TinymAP55.14Unverified
3DMDUmAP53.97Unverified
4UDARmAP52.9Unverified
5MGR-GCLmAP47.59Unverified
6PMLmAP46Unverified
7PALmAP45.14Unverified
8MLmAP45Unverified
9VDAFR-143.69Unverified
10CSP+FCDmAP42.7Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP63.02Unverified
2CORE-ReID V2 TinymAP59.69Unverified
3DMDUmAP56.73Unverified
4UDARmAP55.3Unverified
5MGR-GCLmAP50.56Unverified
6PLMmAP49.41Unverified
7MLmAP48.7Unverified