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 251300 of 1951 papers

TitleStatusHype
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift EstimationCode1
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect ExtractionCode1
A Prototype-Oriented Framework for Unsupervised Domain AdaptationCode1
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain AdaptationCode1
Continual self-training with bootstrapped remixing for speech enhancementCode1
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic SegmentationCode1
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source DataCode1
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class BoundariesCode1
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
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image RecognitionCode1
Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object DetectionCode1
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-LabelingCode1
S^3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain AdaptationCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learningCode1
CDTrans: Cross-domain Transformer for Unsupervised Domain AdaptationCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect ExtractionCode1
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing ImagesCode1
Cross-category Video Highlight Detection via Set-based LearningCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood DensityCode1
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point CloudsCode1
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue DetectionCode1
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic SegmentationCode1
Federated Adversarial Debiasing for Fair and Transferable RepresentationsCode1
Learning Transferable Parameters for Unsupervised Domain AdaptationCode1
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context ExchangeCode1
TVT: Transferable Vision Transformer for Unsupervised Domain AdaptationCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain AdaptationCode1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic SegmentationCode1
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain AdaptationCode1
Domain Adaptive Video Segmentation via Temporal Consistency RegularizationCode1
Transporting Causal Mechanisms for Unsupervised Domain AdaptationCode1
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution DataCode1
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic SegmentationCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
ToAlign: Task-oriented Alignment for Unsupervised Domain AdaptationCode1
Wasserstein Barycenter for Multi-Source Domain AdaptationCode1
Source-free Domain Adaptation via Avatar Prototype Generation and AdaptationCode1
Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided DiagnosisCode1
Self-training Guided Adversarial Domain Adaptation For Thermal ImageryCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain AdaptationCode1
RDA: Robust Domain Adaptation via Fourier Adversarial AttackingCode1
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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