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 10011050 of 1951 papers

TitleStatusHype
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation0
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification0
Hierarchical Image Classification with A Literally Toy Dataset0
Hierarchical Instance Mixing across Domains in Aerial Segmentation0
High-level semantic feature matters few-shot unsupervised domain adaptation0
High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation0
High-resolution semantically-consistent image-to-image translation0
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes0
How does Contrastive Pre-training Connect Disparate Domains?0
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?0
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation0
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id0
Hypothesis Disparity Regularized Mutual Information Maximization0
Partial Identifiability for Domain Adaptation0
Part-of-Speech Tagging for Historical English0
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation0
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective0
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation0
PCT: Perspective Cue Training Framework for Multi-Camera BEV Segmentation0
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving0
Pixel-level Intra-domain Adaptation for Semantic Segmentation0
LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-frame 3D Human Pose Estimation0
PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition0
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition0
POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks0
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation0
Preserving Domain Private Representation via Mutual Information Maximization0
Preserving Fairness in AI under Domain Shift0
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks0
Pre-Training Transformers for Domain Adaptation0
Privacy Protected Multi-Domain Collaborative Learning0
Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments0
Progressive Feature Alignment for Unsupervised Domain Adaptation0
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification0
Progressive Multi-Level Alignments for Semi-Supervised Domain Adaptation SAR Target Recognition Using Simulated Data0
Progressive unsupervised domain adaptation for ASR using ensemble models and multi-stage training0
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation0
PROTEST-ER: Retraining BERT for Protest Event Extraction0
Prototype and Instance Contrastive Learning for Unsupervised Domain Adaptation in Speaker Verification0
PROTOTYPE-ASSISTED ADVERSARIAL LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION0
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation0
Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings0
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation0
Pseudo-labeling for Scalable 3D Object Detection0
Pseudo-label Refinement for Improving Self-Supervised Learning Systems0
Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction0
PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging0
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories0
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images0
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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