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 36513700 of 6439 papers

TitleStatusHype
Unsupervised JPEG Domain Adaptation for Practical Digital Image ForensicsCode0
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentationCode0
Pareto Domain AdaptationCode0
Enhancing Counterfactual Classification via Self-TrainingCode0
A cross-domain recommender system using deep coupled autoencoders0
Burn After Reading: Online Adaptation for Cross-domain Streaming Data0
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey0
Unsupervised Adaptation of Semantic Segmentation Models without Source Data0
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning0
Hierarchical Optimal Transport for Unsupervised Domain AdaptationCode0
Source Free Unsupervised Graph Domain AdaptationCode0
Lifelong Domain Adaptation via Consolidated Internal Distribution0
Implicit Semantic Response Alignment for Partial Domain AdaptationCode0
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers0
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding0
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation0
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation0
EduMT: Developing Machine Translation System for Educational Content in Indian Languages0
argmax centroid0
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation0
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training0
Clustering Effect of Adversarial Robust Models0
Bayesian Adaptation for Covariate Shift0
Universal Semi-Supervised Learning0
The balancing principle for parameter choice in distance-regularized domain adaptationCode0
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationCode0
TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain AugmentationCode0
Seeking Salient Facial Regions for Cross-Database Micro-Expression RecognitionCode0
Unsupervised Domain Adaptation: A Reality Check0
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding0
MAPLE: Microprocessor A Priori for Latency Estimation0
Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive FrameworkCode0
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose LabelsCode0
Semi-supervised Domain Adaptation via Sample-to-Sample Self-DistillationCode0
Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations0
Topic Driven Adaptive Network for Cross-Domain Sentiment Classification0
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources0
Learning to Transfer for Traffic Forecasting via Multi-task LearningCode0
Towards Low-Cost and Efficient Malaria DetectionCode0
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation0
Clustering Effect of (Linearized) Adversarial Robust ModelsCode0
Temporal Effects on Pre-trained Models for Language Processing TasksCode0
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation0
Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs0
Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept0
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing0
Reinforcement Learning for Few-Shot Text Generation AdaptationCode0
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability0
Unsupervised Domain Adaptation for RF-based Gesture Recognition0
Deep Domain Adaptation for Pavement Crack Detection0
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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