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
Dynamic Retraining-Updating Mean Teacher for Source-Free Object DetectionCode1
Dynamic Instance Domain AdaptationCode1
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change DetectionCode1
Few-shot Image Generation via Adaptation-Aware Kernel ModulationCode1
Robust Source-Free Domain Adaptation for Fundus Image SegmentationCode1
Few-Shot Domain Adaptation with Polymorphic TransformersCode1
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic SegmentationCode1
S^3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain AdaptationCode1
A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain AdaptationCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image SegmentationCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose EstimationCode1
Efficient Hierarchical Domain Adaptation for Pretrained Language ModelsCode1
ADeLA: Automatic Dense Labeling with Attention for Viewpoint Adaptation in Semantic SegmentationCode1
Efficient Nearest Neighbor Language ModelsCode1
SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent VehiclesCode1
Category Contrast for Unsupervised Domain Adaptation in Visual TasksCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
Scalable Infomin LearningCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model CalibrationCode1
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text GenerationCode1
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion RecognitionCode1
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple EnvironmentsCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
Self domain adapted networkCode1
Self-ensembling for visual domain adaptationCode1
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document UnderstandingCode1
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-IDCode1
Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identificationCode1
Self-supervised Augmentation Consistency for Adapting Semantic SegmentationCode1
A DIRT-T Approach to Unsupervised Domain AdaptationCode1
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic SegmentationCode1
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic SegmentationCode1
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionCode1
Adjustment and Alignment for Unbiased Open Set Domain AdaptationCode1
Entropy Minimization vs. Diversity Maximization for Domain AdaptationCode1
Era Splitting: Invariant Learning for Decision TreesCode1
CDTrans: Cross-domain Transformer for Unsupervised Domain AdaptationCode1
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object DetectorCode1
Semantic Concentration for Domain AdaptationCode1
Estimating Generalization under Distribution Shifts via Domain-Invariant RepresentationsCode1
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic SegmentationCode1
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image RecognitionCode1
Semantic Self-adaptation: Enhancing Generalization with a Single SampleCode1
Semi-supervised Collaborative Filtering by Text-enhanced Domain AdaptationCode1
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain 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
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