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 351–400 of 6439 papers

TitleStatusHype
High-Resolution Remote Sensing Bitemporal Image Change Detection Based on Feature Interaction and Multitask LearningCode1
Semi-supervised Domain Adaptation via Prototype-based Multi-level LearningCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Semi-Supervised Segmentation of Functional Tissue Units at the Cellular LevelCode1
EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationCode1
Unpaired Image Translation to Mitigate Domain Shift in Liquid Argon Time Projection Chamber Detector ResponsesCode1
SCoDA: Domain Adaptive Shape Completion for Real ScansCode1
Noisy Universal Domain Adaptation via Divergence Optimization for Visual RecognitionCode1
Density-Insensitive Unsupervised Domain Adaption on 3D Object DetectionCode1
Continual Domain Adaptation through Pruning-aided Domain-specific Weight ModulationCode1
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed DistributionCode1
CoSDA: Continual Source-Free Domain AdaptationCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
SALUDA: Surface-based Automotive Lidar Unsupervised Domain AdaptationCode1
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object DetectionCode1
AutoLabel: CLIP-based framework for Open-set Video Domain AdaptationCode1
One-shot Unsupervised Domain Adaptation with Personalized Diffusion ModelsCode1
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation TransformerCode1
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain AdaptationCode1
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose EstimationCode1
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging AnalysisCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
Few-Shot Domain Adaptation for Low Light RAW Image EnhancementCode1
ScarceNet: Animal Pose Estimation with Scarce AnnotationsCode1
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste SortingCode1
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object DetectionCode1
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesCode1
Keypoint-Guided Optimal TransportCode1
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action RecognitionCode1
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline PerformancesCode1
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain AdaptationCode1
Upcycling Models under Domain and Category ShiftCode1
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action RepresentationsCode1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic SegmentationCode1
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual AlignmentCode1
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain AdaptationCode1
Traffic Scene Parsing through the TSP6K DatasetCode1
Dirichlet-based Uncertainty Calibration for Active Domain AdaptationCode1
Simple and Scalable Nearest Neighbor Machine TranslationCode1
Unsupervised Domain Adaptation via Distilled Discriminative ClusteringCode1
Scalable Infomin LearningCode1
SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real ImagesCode1
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic SegmentationCode1
UDApter -- Efficient Domain Adaptation Using AdaptersCode1
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain AdaptationCode1
Domain Adaptation for Time Series Under Feature and Label ShiftsCode1
Domain Re-Modulation for Few-Shot Generative Domain AdaptationCode1
RLSbench: Domain Adaptation Under Relaxed Label ShiftCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96—Unverified
2PMTransAverage Accuracy95.3—Unverified
3CMKDAverage Accuracy94.4—Unverified
4SSRT-B (ours)Average Accuracy93.5—Unverified
5CDTransAverage Accuracy92.6—Unverified
6CoViAverage Accuracy91.8—Unverified
7GSDEAverage Accuracy91.7—Unverified
8FixBiAverage Accuracy91.4—Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6—Unverified
10BIWAAAverage Accuracy90.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1—Unverified
2ILM-ASSLmIoU76.6—Unverified
3DCFmIoU69.3—Unverified
4HRDA+PiPamIoU68.2—Unverified
5MICmIoU67.3—Unverified
6FREDOM - TransformermIoU67—Unverified
7HRDAmIoU65.8—Unverified
8SePiComIoU64.3—Unverified
9MIC + Guidance TrainingmIoU63.8—Unverified
10DAFormer + ProCSTmIoU61.6—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8—Unverified
2DCFmIoU77.7—Unverified
3ILM-ASSLmIoU76.1—Unverified
4MICmIoU75.9—Unverified
5HRDA+PiPamIoU75.6—Unverified
6HRDAmIoU73.8—Unverified
7FREDOM - TransformermIoU73.6—Unverified
8HALOmIoU73.3—Unverified
9SePiComIoU70.3—Unverified
10DAFormer + ProCSTmIoU69.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3—Unverified
2RCLAccuracy90—Unverified
3PGA (ViT-L/14)Accuracy89.4—Unverified
4CMKDAccuracy89—Unverified
5PMTransAccuracy89—Unverified
6MICAccuracy86.2—Unverified
7PGA (ViT-B/16)Accuracy85.1—Unverified
8ELSAccuracy84.6—Unverified
9SDAT (ViT-B/16)Accuracy84.3—Unverified
10CDTrans (DeiT-B)Accuracy80.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8—Unverified
2RCLAccuracy93.2—Unverified
3MICAccuracy92.8—Unverified
4SWGAccuracy92.7—Unverified
5CMKDAccuracy91.8—Unverified
6DePTAccuracy90.7—Unverified
7SDAT(ViT)Accuracy89.8—Unverified
8SFDA2++Accuracy89.6—Unverified
9PMtransAccuracy88.8—Unverified
10CoViAccuracy88.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3—Unverified
2MCC+NWDAccuracy90.7—Unverified
3GLOT-DRAccuracy90.4—Unverified
4SPLAccuracy90.3—Unverified
5DFA-SAFNAccuracy90.2—Unverified
6DADAAccuracy89.3—Unverified
7DFA-ENTAccuracy89.1—Unverified
8DDAAccuracy88.9—Unverified
9MEDMAccuracy88.9—Unverified
10IAFN+ENTAccuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8—Unverified
2ReinmIoU77.6—Unverified
3CoDAmIoU72.6—Unverified
4Refign (HRDA)mIoU72.1—Unverified
5HALOmIoU71.9—Unverified
6MICmIoU70.4—Unverified
7HRDAmIoU68—Unverified
8Refign (DAFormer)mIoU65.5—Unverified
9VBLC (DAFormer)mIoU64.2—Unverified
10CMFormermIoU60.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8—Unverified
2FAMCDAccuracy98.72—Unverified
3DFA-MCDAccuracy98.6—Unverified
4Mean teacherAccuracy98.26—Unverified
5DRANetAccuracy98.2—Unverified
6SHOTAccuracy98—Unverified
7DFA-ENTAccuracy97.9—Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1—Unverified