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 18011850 of 6439 papers

TitleStatusHype
An Empirical Study on Measuring the Similarity of Sentential Arguments with Language Model Domain Adaptation0
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search0
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors0
Domain Adaptation by Topology Regularization0
Can Data Diversity Enhance Learning Generalization?0
Domain adaptation challenges of BERT in tokenization and sub-word representations of Out-of-Vocabulary words0
Algorithms and Theory for Supervised Gradual Domain Adaptation0
Domain Generalization for Activity Recognition via Adaptive Feature Fusion0
Can Domain Adaptation be Handled as Analogies?0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts0
Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning0
Domain Generalization in Biosignal Classification0
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach0
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations0
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions0
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data0
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling0
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling0
Dynamic Gradient Aggregation for Federated Domain Adaptation0
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images0
Domain Adaptation for Disease Phrase Matching with Adversarial Networks0
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer0
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation0
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images0
Beyond Sharing Weights for Deep Domain Adaptation0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 20
Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal0
Domain Adaptation For Formant Estimation Using Deep Learning0
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations0
Domain Adaptation for Hindi-Telugu Machine Translation Using Domain Specific Back Translation0
Adaptive Object Detection with Dual Multi-Label Prediction0
Domain Engineering for Applied Monocular Reconstruction of Parametric Faces0
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference0
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines0
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight0
Domain Adaptation for Large-Vocabulary Object Detectors0
Beyond Photo Realism for Domain Adaptation from Synthetic Data0
Domain Adaptation for Low-Resource Neural Semantic Parsing0
Adversarial Transfer Learning for Cross-domain Visual Recognition0
Domain Adaptation for Medical Image Analysis: A Survey0
Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP0
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images0
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification0
Domain Adaptation for MT: A Study with Unknown and Out-of-Domain Tasks0
A Learner Corpus-based Approach to Verb Suggestion for ESL0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation0
Domain Adaptation for Named Entity Recognition Using CRFs0
Domain Expansion via Network Adaptation for Solving Inverse Problems0
Show:102550
← PrevPage 37 of 129Next →

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