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 901950 of 6439 papers

TitleStatusHype
Cooperative Self-Training for Multi-Target Adaptive Semantic SegmentationCode1
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationCode1
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-TuningCode1
Masked Language Model ScoringCode1
PureGaze: Purifying Gaze Feature for Generalizable Gaze EstimationCode1
Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures TranslationCode1
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic SegmentationCode1
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain GapCode1
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain AdaptationCode1
Racial Faces in-the-Wild: Reducing Racial Bias by Information Maximization Adaptation NetworkCode1
Contrastive Test-Time AdaptationCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
REB: Reducing Biases in Representation for Industrial Anomaly DetectionCode1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic SegmentationCode1
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic SegmentationCode1
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse ConditionsCode1
Category Contrast for Unsupervised Domain Adaptation in Visual TasksCode1
Contrastive Vicinal Space for Unsupervised Domain AdaptationCode1
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI SegmentationCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
Removing Inter-Experimental Variability from Functional Data in Systems NeuroscienceCode1
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model CalibrationCode1
ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic SegmentationCode1
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation PerspectiveCode1
Rethinking Image Restoration for Object DetectionCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-LabelingCode1
RLSbench: Domain Adaptation Under Relaxed Label ShiftCode1
Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid NetworksCode1
Robust Domain Misinformation Detection via Multi-modal Feature AlignmentCode1
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature AlignmentCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Robust Source-Free Domain Adaptation for Fundus Image SegmentationCode1
A DIRT-T Approach to Unsupervised Domain AdaptationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic SegmentationCode1
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain AdaptationCode1
Adjustment and Alignment for Unbiased Open Set Domain AdaptationCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision SystemsCode1
CDTrans: Cross-domain Transformer for Unsupervised Domain AdaptationCode1
SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain AdaptationCode1
Scalable Infomin LearningCode1
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
ScarceNet: Animal Pose Estimation with Scarce AnnotationsCode1
Continual Domain Adaptation through Pruning-aided Domain-specific Weight ModulationCode1
Scribble-based Domain Adaptation via Co-segmentationCode1
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain AdaptationCode1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic 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