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 55015550 of 6439 papers

TitleStatusHype
End-to-end Task-oriented Dialog Policy Learning based on Pre-trained Language Model0
Energy-based Domain-Adaptive Segmentation with Depth Guidance0
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation0
Energy-constrained Self-training for Unsupervised Domain Adaptation0
English-Indonesian Neural Machine Translation for Spoken Language Domains0
Enhanced Hybrid Transducer and Attention Encoder Decoder with Text Data0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation0
Enhanced Separable Disentanglement for Unsupervised Domain Adaptation0
Enhanced Transport Distance for Unsupervised Domain Adaptation0
Enhancing AI Diagnostics: Autonomous Lesion Masking via Semi-Supervised Deep Learning0
Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability0
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation0
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum0
Enhancing cross-domain detection: adaptive class-aware contrastive transformer0
Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentation0
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts0
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning0
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation0
Enhancing General Sentiment Lexicons for Domain-Specific Use0
Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments0
Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods0
Enhancing Monocular Height Estimation via Sparse LiDAR-Guided Correction0
Enhancing radioisotope identification in gamma spectra via supervised domain adaptation0
Enhancing Synthetic Training Data for Speech Commands: From ASR-Based Filtering to Domain Adaptation in SSL Latent Space0
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods0
Enhancing Visual Domain Adaptation with Source Preparation0
Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation0
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation0
Ensemble Multi-Source Domain Adaptation with Pseudolabels0
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization0
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans0
Entropy-based Training Data Selection for Domain Adaptation0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021: Team M3EM Technical Report0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction0
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation0
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation0
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles0
Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation0
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity0
ErrorNet: Learning error representations from limited data to improve vascular segmentation0
Estimating Causal Effects of Text Interventions Leveraging LLMs0
Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators0
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data0
ETS: Domain Adaptation and Stacking for Short Answer Scoring0
Etude de diff\'erentes strat\'egies d'adaptation \`a un nouveau domaine en fouille d'opinion (Study of various strategies for adapting an opinion classifier to a new domain) [in French]0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns0
Evaluating Domain Adaptation for Machine Translation Across Scenarios0
Evaluating the Impact of Using a Domain-specific Bilingual Lexicon on the Performance of a Hybrid Machine Translation Approach0
Evaluating the Learning Curve of Domain Adaptive Statistical Machine Translation Systems0
Show:102550
← PrevPage 111 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