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 26–50 of 1951 papers

TitleStatusHype
BoMuDANet: Unsupervised Adaptation for Visual Scene Understanding in Unstructured Driving EnvironmentsCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action RecognitionCode1
Affinity Space Adaptation for Semantic Segmentation Across DomainsCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
BlenDA: Domain Adaptive Object Detection through diffusion-based blendingCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic SegmentationCode1
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic SegmentationCode1
Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic SegmentationCode1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic SegmentationCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object DetectionCode1
Adaptive-Attentive Geolocalization from few queries: a hybrid approachCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene SegmentationCode1
Adversarial Style Mining for One-Shot Unsupervised Domain AdaptationCode1
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for ExplainabilityCode1
Active Learning for Domain Adaptation: An Energy-Based ApproachCode1
AD-CLIP: Adapting Domains in Prompt Space Using CLIPCode1
Show:102550
← PrevPage 2 of 79Next →

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