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 17511800 of 6439 papers

TitleStatusHype
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes0
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification0
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain AdaptationCode1
Text-only Domain Adaptation using Unified Speech-Text Representation in Transducer0
Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation0
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationCode0
Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification0
Explaining and Adapting Graph Conditional Shift0
Personalized Federated Domain Adaptation for Item-to-Item Recommendation0
Structural Re-weighting Improves Graph Domain AdaptationCode1
Long-range UAV Thermal Geo-localization with Satellite ImageryCode1
Generative Adversarial Networks for Data Augmentation0
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?0
Federated Domain Generalization: A Survey0
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast LearningCode1
Text Style Transfer Back-TranslationCode0
GANs and alternative methods of synthetic noise generation for domain adaption of defect classification of Non-destructive ultrasonic testing0
Uneven Bi-Classifier Learning for Domain AdaptationCode0
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance DetectionCode0
Learning Disentangled Prompts for Compositional Image SynthesisCode1
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations0
Neuronal Cell Type Classification using Deep Learning0
FACT: Federated Adversarial Cross TrainingCode0
Maximal Domain Independent Representations Improve Transfer Learning0
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation0
Towards Flow Graph Prediction of Open-Domain Procedural Texts0
Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis0
Deep into The Domain Shift: Transfer Learning through Dependence RegularizationCode0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability0
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models0
Convolutional Monge Mapping Normalization for learning on sleep dataCode0
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?0
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs0
Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model0
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift0
Deeply Coupled Cross-Modal Prompt LearningCode1
Source-Free Domain Adaptation for SSVEP-based Brain-Computer InterfacesCode0
Condition-Invariant Semantic SegmentationCode1
Coping with low data availability for social media crisis message categorisation0
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
NeuroX Library for Neuron Analysis of Deep NLP ModelsCode1
Improving Knowledge Distillation via Regularizing Feature Norm and DirectionCode1
Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptationCode1
The Representation Jensen-Shannon DivergenceCode0
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech0
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
Robust Category-Level 3D Pose Estimation from Synthetic Data0
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature DisentanglementCode0
Minimizing f-Divergences by Interpolating Velocity FieldsCode0
Generalized domain adaptation framework for parametric back-end in speaker recognition0
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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