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 11511200 of 1951 papers

TitleStatusHype
SPIGAN: Privileged Adversarial Learning from Simulation0
Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation0
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection0
STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning0
Stein Discrepancy for Unsupervised Domain Adaptation0
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation0
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation0
Stretching Domain Adaptation: How far is too far?0
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation0
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation0
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation0
Structure Preserving Generative Cross-Domain Learning0
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains0
Style Adaptation for Domain-adaptive Semantic Segmentation0
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment0
Subspace Alignment Based Domain Adaptation for RCNN Detector0
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation0
Subtype-Aware Dynamic Unsupervised Domain Adaptation0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis0
Support and Invertibility in Domain-Invariant Representations0
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving0
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework0
SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation0
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation0
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction0
Synthetic-to-Real Domain Adaptation for Lane Detection0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation0
Target-agnostic Source-free Domain Adaptation for Regression Tasks0
Target Consistency for Domain Adaptation: when Robustness meets Transferability0
Target-driven One-Shot Unsupervised Domain Adaptation0
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation0
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation0
Teacher-Student Competition for Unsupervised Domain Adaptation0
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition0
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20210
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20220
Testing-Time Adaptation through Online Normalization Estimation0
Test-Time Adaptation and Adversarial Robustness0
Test-time Unsupervised Domain Adaptation0
The Art of the Steal: Purloining Deep Learning Models Developed for an Ultrasound Scanner to a Competitor Machine0
The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA0
The CORAL++ Algorithm for Unsupervised Domain Adaptation of Speaker Recogntion0
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing0
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data0
The Over-Certainty Phenomenon in Modern UDA Algorithms0
The Role of Embedding Complexity in Domain-invariant Representations0
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance0
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation0
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised 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
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