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 60016050 of 6439 papers

TitleStatusHype
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck0
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters0
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning0
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation0
In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection0
In-Context Learning on a Budget: A Case Study in Token Classification0
Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis0
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation0
Increasing Model Generalizability for Unsupervised Domain Adaptation0
Incremental Adversarial Domain Adaptation for Continually Changing Environments0
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device0
Incremental Open-set Domain Adaptation0
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation0
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization0
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors0
Individual and Domain Adaptation in Sentence Planning for Dialogue0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits0
Inference-Time Personalized Federated Learning0
On-Demand Unlabeled Personalized Federated Learning0
Inferring Latent Domains for Unsupervised Deep Domain Adaptation0
Influential Prototypical Networks for Few Shot Learning: A Dermatological Case Study0
InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research0
Information Maximization for Extreme Pose Face Recognition0
Information-theoretic analysis for transfer learning0
Information-Theoretic Analysis of Unsupervised Domain Adaptation0
Information-theoretic Multi-view Domain Adaptation0
Information-theoretic regularization for Multi-source Domain Adaptation0
Infrared Domain Adaptation with Zero-Shot Quantization0
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning0
In Search for a Generalizable Method for Source Free Domain Adaptation0
Insights From A Large-Scale Database of Material Depictions In Paintings0
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation0
Instance-Based Model Adaptation For Direct Speech Translation0
Instant Domain Augmentation for LiDAR Semantic Segmentation0
Integrated Multiscale Domain Adaptive YOLO0
Integrated Tools for Query-driven Development of Light-weight Ontologies and Information Extraction Components0
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation0
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images0
Integration of Unpaired Single-cell Chromatin Accessibility and Gene Expression Data via Adversarial Learning0
Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data0
Intensity augmentation for domain transfer of whole breast segmentation in MRI0
Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil0
Interactive dimensionality reduction using similarity projections0
Interactive Occlusion Boundary Estimation through Exploitation of Synthetic Data0
Co-training partial domain adaptation networks for industrial Fault Diagnosis0
Interactive Video Generation via Domain Adaptation0
Inter-Domain Mixup for Semi-Supervised Domain Adaptation0
Intermediate Self-supervised Learning for Machine Translation Quality Estimation0
Internal Language Model Estimation based Adaptive Language Model Fusion for Domain Adaptation0
Interpretability Analysis of Domain Adapted Dense Retrievers0
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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