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 851900 of 6439 papers

TitleStatusHype
Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil0
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain AdaptationCode1
A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue GenerationCode0
Towards Domain Adaptive Neural Contextual Bandits0
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation0
Efficient Discrepancy Testing for Learning with Distribution Shift0
Enhancing Domain Adaptation through Prompt Gradient AlignmentCode1
LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation ApproachCode1
Learning Domain-Invariant Features for Out-of-Context News Detection0
SR-Stereo & DAPE: Stepwise Regression and Pre-trained Edges for Practical Stereo MatchingCode0
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Stable Neighbor Denoising for Source-free Domain Adaptive SegmentationCode1
Source -Free Domain Adaptation for Speaker Verification in Data-Scarce Languages and Noisy Channels0
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions0
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion ModelsCode0
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition0
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation0
CORE-ReID: Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-IdentificationCode1
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding0
Proxy Denoising for Source-Free Domain AdaptationCode3
Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach0
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision0
Improvement of Applicability in Student Performance Prediction Based on Transfer Learning0
Pseudo-label Based Domain Adaptation for Zero-Shot Text Steganalysis0
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation0
Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data0
Domain Adaptation with Cauchy-Schwarz DivergenceCode0
From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehaveCode0
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution WeightingCode1
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation0
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation ModelsCode0
Open-Set Domain Adaptation for Semantic SegmentationCode2
Clustering-Based Validation Splits for Model Selection under Domain Shift0
Domain adaptation in small-scale and heterogeneous biological datasets0
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric ApplicationsCode1
OMPO: A Unified Framework for RL under Policy and Dynamics ShiftsCode1
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation0
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction0
CT-based brain ventricle segmentation via diffusion Schrödinger Bridge without target domain ground truthsCode1
SSLChange: A Self-supervised Change Detection Framework Based on Domain AdaptationCode1
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth EstimationCode0
Supervised Batch Normalization0
Automatic Domain Adaptation by Transformers in In-Context Learning0
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings0
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation0
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI SegmentationCode1
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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