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 40014050 of 6439 papers

TitleStatusHype
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
Exploring Dropout Discriminator for Domain Adaptation0
Using Machine Translation to Localize Task Oriented NLG Output0
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation0
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training0
Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningCode0
ADAPT : Awesome Domain Adaptation Python Toolbox0
Predicting with Confidence on Unseen Distributions0
Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation0
CoReD: Generalizing Fake Media Detection with Continual Representation using DistillationCode0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
Memory-aware curriculum federated learning for breast cancer classificationCode0
Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment0
Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography0
Differentially Private Sliced Wasserstein DistanceCode0
MixStyle Neural Networks for Domain Generalization and Adaptation0
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation0
Data Centric Domain Adaptation for Historical Text with OCR ErrorsCode0
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition0
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images0
Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain AdaptationCode0
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations0
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation0
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization0
Multi-Source Domain Adaptation for Object Detection0
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation0
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking0
Deep Inertial Navigation using Continuous Domain Adaptation and Optimal Transport0
Critically examining the Domain Generalizability of Facial Expression Recognition models0
Cross-domain error minimization for unsupervised domain adaptationCode0
Domain adaptation for person re-identification on new unlabeled data using AlignedReID++Code0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding0
High-dimensional separability for one- and few-shot learning0
Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-IdentificationCode0
Domain Adaptive YOLO for One-Stage Cross-Domain Detection0
Domain Conditional Predictors for Domain AdaptationCode0
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation0
Secure Domain Adaptation with Multiple SourcesCode0
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis0
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation0
Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data TransformationsCode0
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation0
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology0
Universal Domain Adaptation in Ordinal Regression0
A Curriculum-style Self-training Approach for Source-Free Semantic SegmentationCode0
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation0
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition0
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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