SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 35513600 of 6439 papers

TitleStatusHype
MCDAL: Maximum Classifier Discrepancy for Active LearningCode0
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation0
Domain Adaptation without Model Transferring0
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling0
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters0
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction0
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retrainingCode1
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position HeatmapCode0
Adversarial Continual Learning for Multi-Domain Hippocampal SegmentationCode1
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection AugmentationCode0
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets0
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation0
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion RecognitionCode1
Zero-Round Active Learning0
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data0
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation0
Model Transferability With Responsive Decision SubjectsCode0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation0
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain AdaptationCode1
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video GamesCode1
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic SegmentationCode1
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature RestorationCode1
EndoUDA: A modality independent segmentation approach for endoscopy imaging0
Aligning Correlation Information for Domain Adaptation in Action Recognition0
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning0
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network0
Few-Shot Domain Adaptation with Polymorphic TransformersCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training0
Using Machine Translation to Localize Task Oriented NLG Output0
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation0
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
Exploring Dropout Discriminator for Domain Adaptation0
Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningCode0
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis TransferCode1
ADAPT : Awesome Domain Adaptation Python Toolbox0
Predicting with Confidence on Unseen Distributions0
Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
CoReD: Generalizing Fake Media Detection with Continual Representation using DistillationCode0
Memory-aware curriculum federated learning for breast cancer classificationCode0
Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography0
Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment0
Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault DiagnosisCode1
Differentially Private Sliced Wasserstein DistanceCode0
MixStyle Neural Networks for Domain Generalization and Adaptation0
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain AdaptationCode1
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified