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 14511500 of 6439 papers

TitleStatusHype
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation0
Task-Assisted Domain Adaptation with Anchor Tasks0
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting0
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms0
Adding syntactic structure to bilingual terminology for improved domain adaptation0
Unsupervised domain adaptation based COVID-19 CT infection segmentation network0
Domain Adaptation Broad Learning System Based on Locally Linear Embedding0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts0
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector0
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey0
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding0
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network0
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints0
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation0
An Analysis of RF Transfer Learning Behavior Using Synthetic Data0
Bridging the Domain Gap for Stance Detection for the Zulu language0
An Analysis of Dialogue Act Sequence Similarity Across Multiple Domains0
ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection0
Analyzing Urdu Social Media for Sentiments using Transfer Learning with Controlled Translations0
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework0
Consensus Clustering: An Embedding Perspective, Extension and Beyond0
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs0
Active Universal Domain Adaptation0
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity0
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation0
Domain Adaptation and Instance Selection for Disease Syndrome Classification over Veterinary Clinical Notes0
Analysing the Effect of Out-of-Domain Data on SMT Systems0
Active Source Free Domain Adaptation0
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation0
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation0
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation0
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application0
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems0
Active Sentiment Domain Adaptation0
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification0
An Adaptive Descriptor Design for Object Recognition in the Wild0
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation0
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation0
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.0
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching0
Brain Tumor Segmentation on MRI with Missing Modalities0
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation0
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach0
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network0
EMN: Brain-inspired Elastic Memory Network for Quick Domain Adaptive Feature Mapping0
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision0
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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