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 1151–1200 of 1951 papers

TitleStatusHype
SPIGAN: Privileged Adversarial Learning from Simulation—0
Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation—0
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection—0
STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning—0
Stein Discrepancy for Unsupervised Domain Adaptation—0
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation—0
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation—0
Stretching Domain Adaptation: How far is too far?—0
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation—0
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation—0
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation—0
Structure Preserving Generative Cross-Domain Learning—0
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains—0
Style Adaptation for Domain-adaptive Semantic Segmentation—0
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment—0
Subspace Alignment Based Domain Adaptation for RCNN Detector—0
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation—0
Subtype-Aware Dynamic Unsupervised Domain Adaptation—0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis—0
Support and Invertibility in Domain-Invariant Representations—0
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving—0
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework—0
SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation—0
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation—0
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction—0
Synthetic-to-Real Domain Adaptation for Lane Detection—0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation—0
Target-agnostic Source-free Domain Adaptation for Regression Tasks—0
Target Consistency for Domain Adaptation: when Robustness meets Transferability—0
Target-driven One-Shot Unsupervised Domain Adaptation—0
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation—0
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation—0
Teacher-Student Competition for Unsupervised Domain Adaptation—0
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition—0
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021—0
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022—0
Testing-Time Adaptation through Online Normalization Estimation—0
Test-Time Adaptation and Adversarial Robustness—0
Test-time Unsupervised Domain Adaptation—0
The Art of the Steal: Purloining Deep Learning Models Developed for an Ultrasound Scanner to a Competitor Machine—0
The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA—0
The CORAL++ Algorithm for Unsupervised Domain Adaptation of Speaker Recogntion—0
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing—0
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation—0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data—0
The Over-Certainty Phenomenon in Modern UDA Algorithms—0
The Role of Embedding Complexity in Domain-invariant Representations—0
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance—0
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation—0
Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation—0
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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