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 40514100 of 6439 papers

TitleStatusHype
Transferable Calibration with Lower Bias and Variance in Domain Adaptation0
Transferable Deployment of Semantic Edge Inference Systems via Unsupervised Domain Adaption0
Transferable Feature Learning on Graphs Across Visual Domains0
Transferable Feature Representation for Visible-to-Infrared Cross-Dataset Human Action Recognition0
Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation0
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation0
Transferable Query Selection for Active Domain Adaptation0
Transfer Alignment Network for Double Blind Unsupervised Domain Adaptation0
Transfering Low-Frequency Features for Domain Adaptation0
Transfer Joint Matching for Unsupervised Domain Adaptation0
Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets0
Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis0
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks0
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation0
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning0
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains0
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges0
Transfer Learning Methods for Domain Adaptation in Technical Logbook Datasets0
Transfer Learning with Dynamic Adversarial Adaptation Network0
Transfer Learning with Dynamic Distribution Adaptation0
Transfer of Machine Learning Fairness across Domains0
Transferrable Contrastive Learning for Visual Domain Adaptation0
Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach0
Transferrable Prototypical Networks for Unsupervised Domain Adaptation0
Transferring and Regularizing Prediction for Semantic Segmentation0
Unsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer0
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging0
Transferring Physical Motion Between Domains for Neural Inertial Tracking0
Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis0
TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers0
Translating a Language You Don't Know In the Chinese Room0
Translating Literary Text between Related Languages using SMT0
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation0
Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information0
Translation Model Adaptation Using Genre-Revealing Text Features0
Translation Model Interpolation for Domain Adaptation in TectoMT0
Translation of Biomedical Documents with Focus on Spanish-English0
Translation Quality-Based Supplementary Data Selection by Incremental Update of Translation Models0
Transliterated Zero-Shot Domain Adaptation for Automatic Speech Recognition0
Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation0
TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation0
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation0
Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering0
t-SOT FNT: Streaming Multi-talker ASR with Text-only Domain Adaptation Capability0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster0
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation0
TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation0
Tuning Bayes Baseline for Dialect Detection0
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning0
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction0
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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