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 751800 of 6439 papers

TitleStatusHype
Dual Path Learning for Domain Adaptation of Semantic SegmentationCode1
Learning Transferable Parameters for Unsupervised Domain AdaptationCode1
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context ExchangeCode1
TVT: Transferable Vision Transformer for Unsupervised Domain AdaptationCode1
Semantic Concentration for Domain AdaptationCode1
Zero-Shot Day-Night Domain Adaptation with a Physics PriorCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
Source-Free Domain Adaptation for Image SegmentationCode1
Generalized Source-free Domain AdaptationCode1
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image GeneratorsCode1
Few-Shot Domain Adaptation For End-to-End CommunicationCode1
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain AdaptationCode1
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain AdaptationCode1
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic SegmentationCode1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic SegmentationCode1
Generalizing Gaze Estimation with Outlier-guided Collaborative AdaptationCode1
Unsupervised Monocular Depth Estimation in Highly Complex EnvironmentsCode1
SimROD: A Simple Adaptation Method for Robust Object DetectionCode1
Exploring Sequence Feature Alignment for Domain Adaptive Detection TransformersCode1
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain AdaptationCode1
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text ClassificationCode1
Transferable Dialogue Systems and User SimulatorsCode1
Transporting Causal Mechanisms for Unsupervised Domain AdaptationCode1
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report GenerationCode1
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution DataCode1
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retrainingCode1
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic SegmentationCode1
Adversarial Continual Learning for Multi-Domain Hippocampal SegmentationCode1
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion RecognitionCode1
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain AdaptationCode1
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic SegmentationCode1
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video GamesCode1
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature RestorationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
Few-Shot Domain Adaptation with Polymorphic TransformersCode1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationCode1
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-TrainingCode1
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis TransferCode1
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain AdaptationCode1
Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault DiagnosisCode1
Semi-Supervised Raw-to-Raw MappingCode1
On the Evaluation of Machine Translation for Terminology ConsistencyCode1
ToAlign: Task-oriented Alignment for Unsupervised Domain AdaptationCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
Wasserstein Barycenter for Multi-Source Domain AdaptationCode1
SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object DetectionCode1
Source-free Domain Adaptation via Avatar Prototype Generation and AdaptationCode1
Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided DiagnosisCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in PythonCode1
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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