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
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and ConsistencyCode0
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification0
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationCode1
Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task NetworksCode0
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains0
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation0
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data0
Unsupervised Domain Adaptation of Black-Box Source ModelsCode0
Adaptiope: A Modern Benchmark for Unsupervised Domain AdaptationCode0
Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification0
Style Normalization and Restitution for Domain Generalization and AdaptationCode1
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation0
Domain Adaptation for the Segmentation of Confidential Medical ImagesCode0
Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality AssessmentCode1
Active Universal Domain Adaptation0
Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation0
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain AdaptationCode1
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation0
Adaptive Adversarial Network for Source-Free Domain Adaptation0
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
Gradient Distribution Alignment Certificates Better Adversarial Domain AdaptationCode1
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point CloudsCode1
STEM: An Approach to Multi-Source Domain Adaptation With GuaranteesCode0
Energy-constrained Self-training for Unsupervised Domain Adaptation0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis0
EMTL: A Generative Domain Adaptation Approach0
Disentangled cyclic reconstruction for domain adaptation0
Collaborative Normalization for Unsupervised Domain Adaptation0
A Simple Unified Information Regularization Framework for Multi-Source Domain Adaptation0
Unsupervised Domain Adaptation via Minimized Joint Error0
Neighbor Class Consistency on Unsupervised Domain Adaptation0
Test-Time Adaptation and Adversarial Robustness0
Scaling Unsupervised Domain Adaptation through Optimal Collaborator Selection and Lazy Discriminator Synchronization0
Transferable Feature Learning on Graphs Across Visual Domains0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks0
Dual Adversarial Training for Unsupervised Domain Adaptation0
Adaptive Tree Wasserstein Minimization for Hierarchical Generative Modeling0
Unified Principles For Multi-Source Transfer Learning Under Label Shifts0
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?0
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature RedundancyCode0
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation0
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer0
Cross-Domain Latent Modulation for Variational Transfer Learning0
Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction0
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain AdaptationCode1
Hypothesis Disparity Regularized Mutual Information Maximization0
Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object DetectionCode1
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling TransferCode1
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data0
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation0
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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
8FAFSmIoU (13 classes)61.4Unverified
9DAFormer+CSImIoU61.4Unverified
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