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 201–250 of 1951 papers

TitleStatusHype
Stable Neighbor Denoising for Source-free Domain Adaptive SegmentationCode1
CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-IdentificationCode1
Proxy Denoising for Source-Free Domain AdaptationCode3
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding—0
Domain Adaptation with Cauchy-Schwarz DivergenceCode0
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation ModelsCode0
Open-Set Domain Adaptation for Semantic SegmentationCode2
Clustering-Based Validation Splits for Model Selection under Domain Shift—0
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation—0
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth EstimationCode0
Automatic Domain Adaptation by Transformers in In-Context Learning—0
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation—0
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI SegmentationCode1
DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical AlignmentCode2
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for ExplainabilityCode1
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation—0
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External DataCode0
Dual-Level Viewpoint-Learning for Cross-Domain Vehicle Re-Identification—0
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation—0
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality AssessmentCode0
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object DetectionCode0
Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for HistologyCode0
Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition—0
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training—0
Style Adaptation for Domain-adaptive Semantic Segmentation—0
360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes—0
The Over-Certainty Phenomenon in Modern UDA Algorithms—0
Vision Transformer-based Adversarial Domain AdaptationCode0
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection—0
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover MappingCode0
Source-free Domain Adaptation for Video Object Detection Under Adverse Image Conditions—0
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention RecognitionCode0
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation—0
Unsupervised Domain Adaption Harnessing Vision-Language Pre-trainingCode1
Enhancing AI Diagnostics: Autonomous Lesion Masking via Semi-Supervised Deep Learning—0
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time SeriesCode1
Grounded Language Agent for Product Search via Intelligent Web InteractionsCode0
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation—0
Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction—0
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image SegmentationCode2
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography ImagesCode0
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query GenerationCode1
Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object DetectionCode1
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy with Sparse Point AnnotationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP84.4—Unverified
2EvoADAmAP84.3—Unverified
3LF2mAP83.2—Unverified
4AWBmAP80.6—Unverified
5CCTSEmAP78.4—Unverified
6SpCLmAP76.7—Unverified
7MMTmAP71.2—Unverified
8SDAmAP70—Unverified
9AD-ClustermAP68.3—Unverified
10ECN++mAP63.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP74.8—Unverified
2LF2mAP73.5—Unverified
3CCTSEmAP72.6—Unverified
4EvoADAmAP71.4—Unverified
5AWBmAP71—Unverified
6SpCLmAP68.8—Unverified
7MMTmAP65.1—Unverified
8SDAmAP61.4—Unverified
9SNRmAP58.1—Unverified
10ACTmAP54.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ALDI++(Resnet50+FPN)[email protected]66.8—Unverified
2RT-DATR(640x640, real-time)[email protected]52.7—Unverified
3MRT[email protected]51.2—Unverified
4DDT[email protected]50—Unverified
5MIC[email protected]47.6—Unverified
6O2net[email protected]46.8—Unverified
7LGCL (supervised)[email protected]46.7—Unverified
8LGCL (unsupervised)[email protected]45.3—Unverified
9SAD[email protected]45.2—Unverified
10ALDI-DETR (ResNet-50, 800px)[email protected]44.8—Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy91.4—Unverified
2TransAdapter-BAccuracy89.4—Unverified
3SAMBAccuracy86.2—Unverified
4PDA (CLIP, ViT-B/16)Accuracy85.7—Unverified
5SSRT-BAccuracy85.43—Unverified
6EUDAAccuracy84.9—Unverified
7ProDeAccuracy84.5—Unverified
8ECB (CNN)Accuracy81.2—Unverified
9CDTransAccuracy80.5—Unverified
10JAN [cite:ICML17JAN]Accuracy76.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP44.1—Unverified
2CORE-ReIDmAP41.9—Unverified
3CORE-ReID V2 TinymAP35.8—Unverified
4CCTSEmAP33.2—Unverified
5UMDAmAP32.7—Unverified
6AWBmAP30.6—Unverified
7SpClmAP25.4—Unverified
8SDAmAP23.2—Unverified
9MMTmAP22.9—Unverified
10DG-Net++mAP22.1—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 (baseline), BatchNorm Adaptation, 8 samplesmean Corruption Error (mCE)65—Unverified
2ResNet50 (baseline), BatchNorm Adaptation, full adaptationmean Corruption Error (mCE)62.2—Unverified
3ResNet50 + ENTmean Corruption Error (mCE)51.6—Unverified
4ResNet50 + RPLmean Corruption Error (mCE)50.5—Unverified
5ResNet50+DeepAug+AugMix, BatchNorm Adaptation, 8 samplesmean Corruption Error (mCE)48.4—Unverified
6ResNet50+DeepAug+AugMix, BatchNorm Adaptation, full adaptationmean Corruption Error (mCE)45.4—Unverified
7ResNeXt101 32x8d + ENTmean Corruption Error (mCE)44.3—Unverified
8ResNeXt101 32x8d + RPLmean Corruption Error (mCE)43.2—Unverified
9ResNeXt101 32x8d + IG-3.5B + RPLmean Corruption Error (mCE)40.9—Unverified
10ResNeXt101 32x8d + IG-3.5B + ENTmean Corruption Error (mCE)40.8—Unverified
#ModelMetricClaimedVerifiedStatus
1MIC+CSImIoU (13 classes)75.9—Unverified
2DCFmIoU (13 classes)75.9—Unverified
3DIDAmIoU (13 classes)70.1—Unverified
4Sepico + HIASTmIoU (13 classes)68.1—Unverified
5CLUDA+HRDAmIoU67.2—Unverified
6SePiCo (DeepLabv2 ResNet-101)mIoU (13 classes)66.5—Unverified
7G2LmIoU (13 classes)64.4—Unverified
8FAFSmIoU (13 classes)61.4—Unverified
9DAFormer+CSImIoU61.4—Unverified
10AdaptSeg + HIASTmIoU (13 classes)60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP49.5—Unverified
2MATNet+DMDUmAP49.25—Unverified
3MGR-GCLmAP48.73—Unverified
4PLMmAP47.37—Unverified
5CSP+FCDmAP45.6—Unverified
6PALmAP42.04—Unverified
7CORE-ReID V2 TinymAP40.17—Unverified
8SPCLmAP38.9—Unverified
9UDARmAP35.8—Unverified
10MMTmAP35.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReIDmAP45.2—Unverified
2CCTSEmAP34.5—Unverified
3AWBmAP30.7—Unverified
4SpCLmAP26.5—Unverified
5SDAmAP25.6—Unverified
6MMTmAP23.3—Unverified
7MMCLmAP16.2—Unverified
8ECN++mAP16—Unverified
9SSGmAP13.3—Unverified
10ECNmAP10.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ALDI++[email protected]77.8—Unverified
2ALDI-YOLO[email protected]75—Unverified
3MIC(ALDI frame)[email protected]73.1—Unverified
4AT(ALDI frame)[email protected]72—Unverified
5SADA(ALDI frame)[email protected]71.8—Unverified
6PT(ALDI frame)[email protected]70.6—Unverified
7RT-DATR(real-time, 640x640)[email protected]67.2—Unverified
8DDT[email protected]64—Unverified
9MRT[email protected]62—Unverified
10MILA[email protected]57.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP57.99—Unverified
2CORE-ReID V2 TinymAP55.14—Unverified
3DMDUmAP53.97—Unverified
4UDARmAP52.9—Unverified
5MGR-GCLmAP47.59—Unverified
6PMLmAP46—Unverified
7PALmAP45.14—Unverified
8MLmAP45—Unverified
9VDAFR-143.69—Unverified
10CSP+FCDmAP42.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CORE-ReID V2mAP63.02—Unverified
2CORE-ReID V2 TinymAP59.69—Unverified
3DMDUmAP56.73—Unverified
4UDARmAP55.3—Unverified
5MGR-GCLmAP50.56—Unverified
6PLMmAP49.41—Unverified
7MLmAP48.7—Unverified