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 19011950 of 6439 papers

TitleStatusHype
Self-Train Before You TranscribeCode0
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial ReportsCode0
Gibson Env: Real-World Perception for Embodied AgentsCode0
GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain GapCode0
Gradual Fine-Tuning for Low-Resource Domain AdaptationCode0
Harnessing Out-Of-Distribution Examples via Augmenting Content and StyleCode0
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentationCode0
Generative Pseudo-label Refinement for Unsupervised Domain AdaptationCode0
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNNCode0
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic SegmentationCode0
COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanismCode0
Semi-Supervised Deep Learning for Fully Convolutional NetworksCode0
Semi-Supervised Disentangled Framework for Transferable Named Entity RecognitionCode0
AUC-Oriented Domain Adaptation: From Theory to AlgorithmCode0
Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound ClassificationCode0
Semi-Supervised Domain Adaptation for Wildfire DetectionCode0
Road Scenes Segmentation Across Different Domains by Disentangling Latent RepresentationsCode0
Generalizing A Person Retrieval Model Hetero- and HomogeneouslyCode0
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray FluoroscopyCode0
A Survey of Unsupervised Deep Domain AdaptationCode0
Coupled Generative Adversarial NetworksCode0
Generalizing Across Domains via Cross-Gradient TrainingCode0
Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range DisplaysCode0
Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced EnsembleCode0
Generate To Adapt: Aligning Domains using Generative Adversarial NetworksCode0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
Generalizable Image Repair for Robust Visual Autonomous RacingCode0
A Two Stage Adaptation Framework for Frame Detection via Prompt LearningCode0
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
Adapting Pretrained Language Models for Solving Tabular Prediction Problems in the Electronic Health RecordCode0
Attract or Distract: Exploit the Margin of Open SetCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical SamplesCode0
Cost-effective Framework for Gradual Domain Adaptation with MultifidelityCode0
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised LearningCode0
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain AdaptationCode0
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain AdaptationCode0
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit ModelsCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
COSMo: CLIP Talks on Open-Set Multi-Target Domain AdaptationCode0
GCAL: Adapting Graph Models to Evolving Domain ShiftsCode0
Gaze360: Physically Unconstrained Gaze Estimation in the WildCode0
General Frameworks for Conditional Two-Sample TestingCode0
Correlation Alignment by Riemannian Metric for Domain AdaptationCode0
FusDom: Combining In-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised LearningCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain AdaptationCode0
From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehaveCode0
Adapting Object Detectors via Selective Cross-Domain AlignmentCode0
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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