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 54015450 of 6439 papers

TitleStatusHype
DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection0
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning0
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation0
Dual Adversarial Training for Unsupervised Domain Adaptation0
Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation0
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval0
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection0
Dual-Correction Adaptation Network for Noisy Knowledge Transfer0
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception0
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction0
Dual Mixup Regularized Learning for Adversarial Domain Adaptation0
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation0
Learning to Prompt Your Domain for Vision-Language Models0
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation0
Dual-Triplet Metric Learning for Unsupervised Domain Adaptation in Video-Based Face Recognition0
Duplex Generative Adversarial Network for Unsupervised Domain Adaptation0
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching0
DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification0
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars0
Dynamic Adaptation on Non-Stationary Visual Domains0
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation0
Dynamic Feature Alignment for Semi-supervised Domain Adaptation0
Dynamic Gradient Aggregation for Federated Domain Adaptation0
Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training0
Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation0
Dynamic Terminology Integration Methods in Statistical Machine Translation0
Dynamic Topic Adaptation for Phrase-based MT0
Dynamic Weighted Learning for Unsupervised Domain Adaptation0
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding0
EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing0
Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach0
Easy Transfer Learning By Exploiting Intra-domain Structures0
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation0
ECO: Egocentric Cognitive Mapping0
ECSpell^UD: Zero-shot Domain Adaptive Chinese Spelling Check with User Dictionary0
Edge-preserving Domain Adaptation for semantic segmentation of Medical Images0
Edinburgh's Machine Translation Systems for European Language Pairs0
Edit Distance: A New Data Selection Criterion for Domain Adaptation in SMT0
EDITnet: A Lightweight Network for Unsupervised Domain Adaptation in Speaker Verification0
EduMT: Developing Machine Translation System for Educational Content in Indian Languages0
EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks0
Effective Domain Mixing for Neural Machine Translation0
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation0
Effectiveness of Domain Adaptation in Japanese Predicate-Argument Structure Analysis0
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation0
Effective Text Adaptation for LLM-based ASR through Soft Prompt Fine-Tuning0
Effective Transfer Learning for Low-Resource Natural Language Understanding0
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation0
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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