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 47014750 of 6439 papers

TitleStatusHype
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification0
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR0
COD: Learning Conditional Invariant Representation for Domain Adaptation Regression0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation0
Collaborative Editable Model0
Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation0
Collaborative Normalization for Unsupervised Domain Adaptation0
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation0
Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation0
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos0
Color Deconvolution applied to Domain Adaptation in HER2 histopathological images0
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation0
Combating Label Distribution Shift for Active Domain Adaptation0
Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser0
Combining Domain Adaptation Approaches for Medical Text Translation0
Combining Natural and Artificial Examples to Improve Implicit Discourse Relation Identification0
Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling0
Combining Statistical Machine Translation and Translation Memories with Domain Adaptation0
Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition0
Compact Personalized Models for Neural Machine Translation0
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model0
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech0
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation0
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift0
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning0
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification0
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds0
Complex QA and language models hybrid architectures, Survey0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks0
Open Compound Domain Adaptation0
Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding0
Computational Emotion Analysis From Images: Recent Advances and Future Directions0
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation0
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation0
Concept-Based Unsupervised Domain Adaptation0
Concept Transfer Learning for Adaptive Language Understanding0
Conceptual Domain Adaptation Using Deep Learning0
ConDA: Continual Unsupervised Domain Adaptation0
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars0
Conditional Bures Metric for Domain Adaptation0
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation0
Conditional Data Synthesis Augmentation0
Conditional Generative Adversarial Network for Structured Domain Adaptation0
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift0
Conditional Teacher-Student Learning0
Conditional Text Image Generation with Diffusion Models0
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation0
Confidence-based Active Learning Methods for Machine Translation0
Confidence Calibration for Domain Generalization under Covariate Shift0
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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