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 901950 of 1951 papers

TitleStatusHype
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeCode2
Dynamic Instance Domain AdaptationCode1
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy0
Source-free Video Domain Adaptation by Learning Temporal Consistency for Action RecognitionCode1
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain GapCode1
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation0
Adaptor: Objective-Centric Adaptation Framework for Language ModelsCode0
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation0
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain AdaptationCode0
Maximizing Conditional Independence for Unsupervised Domain Adaptation0
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions0
Domain Adaptation with Factorizable Joint Shift0
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation0
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic SegmentationCode1
Continual BatchNorm Adaptation (CBNA) for Semantic SegmentationCode0
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation0
Towards Unsupervised Domain Adaptation via Domain-Transformer0
SMILE: Sequence-to-Sequence Domain Adaption with Minimizing Latent Entropy for Text Image RecognitionCode0
Augmentation based unsupervised domain adaptation0
Deep learning based domain adaptation for mitochondria segmentation on EM volumesCode0
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain0
Domain-Augmented Domain Adaptation0
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective0
Exploring Adversarially Robust Training for Unsupervised Domain AdaptationCode0
RemixIT: Continual self-training of speech enhancement models via bootstrapped remixingCode1
Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation0
Beyond Deterministic Translation for Unsupervised Domain AdaptationCode0
Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous DrivingCode1
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation0
DeepSTAPLE: Learning to predict multimodal registration quality for unsupervised domain adaptation0
The CORAL++ Algorithm for Unsupervised Domain Adaptation of Speaker Recogntion0
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain AdaptationCode0
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation0
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image SegmentationCode1
ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic SegmentationCode1
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion0
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis0
Unsupervised Reinforcement Adaptation for Class-Imbalanced TextClassification0
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval0
Domain-shift adaptation via linear transformationsCode0
Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency LearningCode1
Self-semantic contour adaptation for cross modality brain tumor segmentation0
Preserving Domain Private Representation via Mutual Information Maximization0
Decompose to Adapt: Cross-domain Object Detection via Feature DisentanglementCode1
To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object DetectorsCode1
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation0
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesCode2
ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation0
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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