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 24512500 of 6439 papers

TitleStatusHype
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object DetectionCode1
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment0
High-resolution semantically-consistent image-to-image translation0
Domain Adaptation for Question Answering via Question ClassificationCode0
Unified State Representation Learning under Data AugmentationCode0
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model GeneralizationCode1
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport0
PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition0
Generalized One-shot Domain Adaptation of Generative Adversarial NetworksCode1
Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LMCode1
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation0
Information Maximization for Extreme Pose Face Recognition0
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowCode3
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery0
Domain Engineering for Applied Monocular Reconstruction of Parametric Faces0
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label InjectionCode0
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain0
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center StudyCode1
Autonomous Cross Domain Adaptation under Extreme Label ScarcityCode0
Generalization in Neural Networks: A Broad Survey0
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation0
Domain Adaptation from ScratchCode0
User Satisfaction Modeling with Domain Adaptation in Task-oriented Dialogue Systems0
Unsupervised Domain Adaptation on Question-Answering System with Conversation Data0
Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation0
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation0
Low Resource Chat Translation: A Benchmark for Hindi–English Language PairCode0
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
Transfering Low-Frequency Features for Domain Adaptation0
Few-shot Adaptive Object Detection with Cross-Domain CutMix0
AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection0
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation0
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks0
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain AdaptationCode1
Super-model ecosystem: A domain-adaptation perspective0
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation0
Radial Prediction Domain Adaption Classifier for the MIDOG 2022 ChallengeCode0
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution dataCode0
Delving into the Continuous Domain AdaptationCode1
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic SegmentationCode1
Domain Adaptation with Adversarial Training on Penultimate ActivationsCode1
Local Context-Aware Active Domain AdaptationCode1
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model0
Image Based Food Energy Estimation With Depth Domain Adaptation0
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification0
A Compact Pretraining Approach for Neural Language ModelsCode0
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network0
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic SegmentationCode1
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
Consistency Regularization for Domain AdaptationCode0
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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