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 35513600 of 6439 papers

TitleStatusHype
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation0
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation0
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation0
Self-Adaptation for Unsupervised Domain Adaptation0
Self-Adapter at SemEval-2021 Task 10: Entropy-based Pseudo-Labeler for Source-free Domain Adaptation0
Self-Adaptive Partial Domain Adaptation0
Self-adaptive Re-weighted Adversarial Domain Adaptation0
Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Speaker Verification0
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images0
Self-Adversarial Disentangling for Specific Domain Adaptation0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data0
Self-Distillation for Unsupervised 3D Domain Adaptation0
Self-Domain Adaptation for Face Anti-Spoofing0
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation0
Self-Ensemling for 3D Point Cloud Domain Adaption0
Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection0
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images0
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations0
Self-Remixing: Unsupervised Speech Separation via Separation and Remixing0
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay0
Self-semantic contour adaptation for cross modality brain tumor segmentation0
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion0
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking0
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation0
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction0
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement0
Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images0
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency0
Self-supervised Domain Adaptation in Crowd Counting0
Self-supervised Domain-agnostic Domain Adaptation for Satellite Images0
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels0
Self-Supervised Learning Across Domains0
Self-supervised learning for infant cry analysis0
Self-Supervised Learning of Domain Invariant Features for Depth Estimation0
Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation0
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation0
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving0
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation0
Self-trained Panoptic Segmentation0
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection0
Self-training Avoids Using Spurious Features Under Domain Shift0
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation0
Self-Training for Parsing Learner Text0
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction0
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation0
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation0
Semantically-consistent Landsat 8 image to Sentinel-2 image translation for alpine areas0
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation0
Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation0
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity 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