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 15011550 of 6439 papers

TitleStatusHype
Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple HospitalsCode1
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain AdaptationCode1
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts0
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval0
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic SegmentationCode1
Unsupervised Domain Adaptation for Self-Driving from Past Traversal FeaturesCode0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification0
Sparsely Shared LoRA on Whisper for Child Speech Recognition0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset0
Self-supervised Domain-agnostic Domain Adaptation for Satellite Images0
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video SegmentationCode1
Semi-supervised Domain Adaptation in Graph Transfer Learning0
Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation0
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms0
Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus ImageCode0
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation0
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationCode1
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models0
Improved Factorized Neural Transducer Model For text-only Domain Adaptation0
Making the Full Model Adaptive: Multi-level Domain Adaptation for Multi-Domain CTR Prediction0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification0
Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation0
t-SOT FNT: Streaming Multi-talker ASR with Text-only Domain Adaptation Capability0
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point CloudsCode0
DA-RAW: Domain Adaptive Object Detection for Real-World Adverse Weather Conditions0
Neural Machine Translation Models Can Learn to be Few-shot Learners0
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text SummarizationCode1
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax EntropyCode0
Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning0
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation0
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation0
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random SelectionCode0
AstroLLaMA: Towards Specialized Foundation Models in Astronomy0
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation0
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule DiscoveryCode1
Cross-tokamak Disruption Prediction based on Physics-Guided Feature Extraction and domain adaptation0
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
Weighted Unsupervised Domain Adaptation Considering Geometry Features and Engineering Performance of 3D Design Data0
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in ChineseCode4
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model AdaptionCode1
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes0
Better Practices for Domain Adaptation0
TSGBench: Time Series Generation BenchmarkCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation0
Distributionally Robust Learning for Multi-source Unsupervised Domain AdaptationCode0
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection0
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images0
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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