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 651–700 of 6439 papers

TitleStatusHype
A Riemannian Approach to Ground Metric Learning for Optimal Transport—0
Template-based Multi-Domain Face Recognition—0
Channel Adaptation for Speaker Verification Using Optimal Transport with Pseudo Label—0
ASR Error Correction using Large Language Models—0
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain AdaptationCode0
xTED: Cross-Domain Adaptation via Diffusion-Based Trajectory EditingCode1
Domain Adaptation for DoA Estimation in Multipath Channels with InterferencesCode1
A market resilient data-driven approach to option pricing—0
Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applications—0
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation—0
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values—0
A Flexible Framework for Universal Computational Aberration Correction via Automatic Lens Library Generation and Domain Adaptation—0
Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising—0
RAGent: Retrieval-based Access Control Policy Generation—0
Unsupervised Adaptive NormalizationCode0
Cross-Organ Domain Adaptive Neural Network for Pancreatic Endoscopic Ultrasound Image Segmentation—0
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes—0
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated AccuracyCode0
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain AdaptationCode1
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilitiesCode1
Pre-training data selection for biomedical domain adaptation using journal impact metrics—0
Collaborative Learning for Enhanced Unsupervised Domain Adaptation—0
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation—0
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network—0
Towards Robust Online Domain Adaptive Semantic Segmentation under Adverse Weather Conditions—0
MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient DeficienciesCode0
Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation—0
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation—0
COSMo: CLIP Talks on Open-Set Multi-Target Domain AdaptationCode0
Statistical Distance-Guided Unsupervised Domain Adaptation for Automated Multi-Class Cardiovascular Magnetic Resonance Image Quality AssessmentCode0
Incremental Open-set Domain Adaptation—0
Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability—0
NDP: Next Distribution Prediction as a More Broad Target—0
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis—0
Multi-source Domain Adaptation for Panoramic Semantic SegmentationCode0
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification—0
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation—0
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious CorrelationsCode0
Interactive Occlusion Boundary Estimation through Exploitation of Synthetic Data—0
Automatic 8-tissue Segmentation for 6-month Infant Brains—0
The VoxCeleb Speaker Recognition Challenge: A Retrospective—0
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time AdaptationCode0
Infrared Domain Adaptation with Zero-Shot Quantization—0
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving—0
Localization in Dynamic Indoor MIMO-OFDM Wireless Systems using Domain Adaptation—0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection—0
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees—0
Rank and Align: Towards Effective Source-free Graph Domain Adaptation—0
Domain Adaptation for Offline Reinforcement Learning with Limited Samples—0
Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation—0
Show:102550
← PrevPage 14 of 129Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96—Unverified
2PMTransAverage Accuracy95.3—Unverified
3CMKDAverage Accuracy94.4—Unverified
4SSRT-B (ours)Average Accuracy93.5—Unverified
5CDTransAverage Accuracy92.6—Unverified
6CoViAverage Accuracy91.8—Unverified
7GSDEAverage Accuracy91.7—Unverified
8FixBiAverage Accuracy91.4—Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6—Unverified
10BIWAAAverage Accuracy90.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1—Unverified
2ILM-ASSLmIoU76.6—Unverified
3DCFmIoU69.3—Unverified
4HRDA+PiPamIoU68.2—Unverified
5MICmIoU67.3—Unverified
6FREDOM - TransformermIoU67—Unverified
7HRDAmIoU65.8—Unverified
8SePiComIoU64.3—Unverified
9MIC + Guidance TrainingmIoU63.8—Unverified
10DAFormer + ProCSTmIoU61.6—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8—Unverified
2DCFmIoU77.7—Unverified
3ILM-ASSLmIoU76.1—Unverified
4MICmIoU75.9—Unverified
5HRDA+PiPamIoU75.6—Unverified
6HRDAmIoU73.8—Unverified
7FREDOM - TransformermIoU73.6—Unverified
8HALOmIoU73.3—Unverified
9SePiComIoU70.3—Unverified
10DAFormer + ProCSTmIoU69.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3—Unverified
2RCLAccuracy90—Unverified
3PGA (ViT-L/14)Accuracy89.4—Unverified
4CMKDAccuracy89—Unverified
5PMTransAccuracy89—Unverified
6MICAccuracy86.2—Unverified
7PGA (ViT-B/16)Accuracy85.1—Unverified
8ELSAccuracy84.6—Unverified
9SDAT (ViT-B/16)Accuracy84.3—Unverified
10CDTrans (DeiT-B)Accuracy80.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8—Unverified
2RCLAccuracy93.2—Unverified
3MICAccuracy92.8—Unverified
4SWGAccuracy92.7—Unverified
5CMKDAccuracy91.8—Unverified
6DePTAccuracy90.7—Unverified
7SDAT(ViT)Accuracy89.8—Unverified
8SFDA2++Accuracy89.6—Unverified
9PMtransAccuracy88.8—Unverified
10CoViAccuracy88.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3—Unverified
2MCC+NWDAccuracy90.7—Unverified
3GLOT-DRAccuracy90.4—Unverified
4SPLAccuracy90.3—Unverified
5DFA-SAFNAccuracy90.2—Unverified
6DADAAccuracy89.3—Unverified
7DFA-ENTAccuracy89.1—Unverified
8DDAAccuracy88.9—Unverified
9MEDMAccuracy88.9—Unverified
10IAFN+ENTAccuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8—Unverified
2ReinmIoU77.6—Unverified
3CoDAmIoU72.6—Unverified
4Refign (HRDA)mIoU72.1—Unverified
5HALOmIoU71.9—Unverified
6MICmIoU70.4—Unverified
7HRDAmIoU68—Unverified
8Refign (DAFormer)mIoU65.5—Unverified
9VBLC (DAFormer)mIoU64.2—Unverified
10CMFormermIoU60.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8—Unverified
2FAMCDAccuracy98.72—Unverified
3DFA-MCDAccuracy98.6—Unverified
4Mean teacherAccuracy98.26—Unverified
5DRANetAccuracy98.2—Unverified
6SHOTAccuracy98—Unverified
7DFA-ENTAccuracy97.9—Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1—Unverified