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 42014250 of 6439 papers

TitleStatusHype
Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment0
Unsupervised Domain Adaptation for Automated Knee Osteoarthritis Phenotype Classification0
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio0
Unsupervised Domain Adaptation for Clinical Negation Detection0
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup0
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection0
Unsupervised Domain Adaptation for Cross-Regional Scenes Person Re-identification0
Unsupervised Domain Adaptation for RF-based Gesture Recognition0
Unsupervised Domain Adaptation for Distance Metric Learning0
Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization0
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters0
Unsupervised Domain Adaptation for Event Detection via Meta Self-Paced Learning0
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport0
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos0
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data0
Unsupervised Domain Adaptation for Hate Speech Detection Using a Data Augmentation Approach0
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning0
Unsupervised Domain Adaptation for Joint Segmentation and POS-Tagging0
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation0
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization0
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment0
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training0
Unsupervised Domain Adaptation for MRI Volume Segmentation and Classification Using Image-to-Image Translation0
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features0
Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation0
Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box0
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling0
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching0
Unsupervised Domain Adaptation for Question Generation with DomainData Selection and Self-training0
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization0
Unsupervised Domain Adaptation for Robust Speech Recognition via Variational Autoencoder-Based Data Augmentation0
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer0
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer0
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey0
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching0
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement0
Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation0
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization0
Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training0
Unsupervised domain adaptation for speech recognition with unsupervised error correction0
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning0
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling0
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning0
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning0
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion0
Unsupervised Domain Adaptation for Video Semantic Segmentation0
Unsupervised Domain Adaptation for Visual Navigation0
Unsupervised Domain Adaptation for Word Sense Disambiguation using Stacked Denoising Autoencoder0
Unsupervised Domain Adaptation for Zero-Shot Learning0
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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