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 13511400 of 1951 papers

TitleStatusHype
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation0
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution RobustnessCode0
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep ClusteringCode1
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation0
Batch Group Normalization0
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation0
Domain Adaptation on Semantic Segmentation for Aerial Images0
Unsupervised Approach for Zero-Shot Experiments: Bhojpuri–Hindi and Magahi–Hindi@LoResMT 20200
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction0
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-IdentificationCode1
Learning to Adapt to Evolving DomainsCode1
Meta Batch-Instance Normalization for Generalizable Person Re-IdentificationCode1
SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous EnvironmentsCode1
Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identificationCode1
Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training0
Multi-Domain Adversarial Feature Generalization for Person Re-Identification0
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation0
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered EmbeddingsCode1
DomainMix: Learning Generalizable Person Re-Identification Without Human AnnotationsCode1
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language ModelCode1
Unsupervised domain adaptation based COVID-19 CT infection segmentation network0
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge DistillationCode1
Master Thesis: Neural Sign Language Translation by Learning Tokenization0
Robustified Domain Adaptation0
FixBi: Bridging Domain Spaces for Unsupervised Domain AdaptationCode1
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain RepresentationsCode1
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection0
Interventional Domain Adaptation0
Universal Multi-Source Domain Adaptation0
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling0
Domain-Adaptive Object Detection via Uncertainty-Aware Distribution AlignmentCode1
Unsupervised Domain Adaptation for Visual Navigation0
On Embodied Visual Navigation in Real Environments Through HabitatCode0
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions0
Casting a BAIT for Offline and Online Source-free Domain AdaptationCode1
Knowledge Distillation for BERT Unsupervised Domain AdaptationCode1
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image TranslationCode1
Continual Unsupervised Domain Adaptation for Semantic SegmentationCode0
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization0
Teacher-Student Competition for Unsupervised Domain Adaptation0
SF-UDA^3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object DetectionCode1
Self-Supervised Domain Adaptation with Consistency TrainingCode1
Adaptive-Attentive Geolocalization from few queries: a hybrid approachCode1
Unveiling Class-Labeling Structure for Universal Domain Adaptation0
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image ClassificationCode1
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation0
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data0
A Brief Review of 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