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 34013450 of 6439 papers

TitleStatusHype
Reducing Gender Bias in Machine Translation through Counterfactual Data Generation0
Reducing Geographic Performance Differential for Face Recognition0
Reducing Overconfident Errors outside the Known Distribution0
Reducing Racial Bias in Facial Age Prediction using Unsupervised Domain Adaptation in Regression0
Reducing Source-Private Bias in Extreme Universal Domain Adaptation0
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation0
RefineStyle: Dynamic Convolution Refinement for StyleGAN0
REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening0
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport0
Regularization techniques for fine-tuning in neural machine translation0
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation0
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints0
Reinforced Information Retrieval0
Reinforced Training Data Selection for Domain Adaptation0
Reiterative Domain Aware Multi-Target Adaptation0
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation0
Relation Adversarial Network for Low Resource Knowledge Graph Completion0
Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification0
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks0
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection0
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation0
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation0
Remaining Useful Lifetime Prediction via Deep Domain Adaptation0
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation0
Remining Hard Negatives for Generative Pseudo Labeled Domain Adaptation0
Removing Biases from Trainable MT Metrics by Using Self-Training0
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization0
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction0
Rep\'erage des entit\'es nomm\'ees pour l'arabe : adaptation non-supervis\'ee et combinaison de syst\`emes (Named Entity Recognition for Arabic : Unsupervised adaptation and Systems combination) [in French]0
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation0
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition0
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval0
Representative Feature Extraction During Diffusion Process for Sketch Extraction with One Example0
Domain Adaptive Bootstrap Aggregating0
Reprogramming Language Models for Molecular Representation Learning0
Research on an improved Conformer end-to-end Speech Recognition Model with R-Drop Structure0
Reshaping Visual Datasets for Domain Adaptation0
Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening0
Residual Language Model for End-to-end Speech Recognition0
Residual Parameter Transfer for Deep Domain Adaptation0
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank0
Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings0
Restyling Data: Application to Unsupervised Domain Adaptation0
Rethinking Domain Adaptation and Generalization in the Era of CLIP0
Rethink Maximum Mean Discrepancy for Domain Adaptation0
Reuse out-of-year data to enhance land cover mappingvia feature disentanglement and contrastive learning0
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks0
Exploring Acoustic Similarity in Emotional Speech and Music via Self-Supervised Representations0
Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection0
Show:102550
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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