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 31013150 of 6439 papers

TitleStatusHype
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer0
Ensemble Multi-Source Domain Adaptation with Pseudolabels0
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation0
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features0
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization0
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation0
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions0
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
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets0
In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection0
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation0
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
Deep-based quality assessment of medical images through domain adaptation0
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation0
Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation0
Enhancing Visual Domain Adaptation with Source Preparation0
Incremental Open-set Domain Adaptation0
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods0
Enhancing Synthetic Training Data for Speech Commands: From ASR-Based Filtering to Domain Adaptation in SSL Latent Space0
Continuous Manifold Based Adaptation for Evolving Visual Domains0
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection0
Label Calibration in Source Free Domain Adaptation0
Individual and Domain Adaptation in Sentence Planning for Dialogue0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits0
Enhancing radioisotope identification in gamma spectra via supervised domain adaptation0
A Survey of Unsupervised Domain Adaptation for Visual Recognition0
Enhancing Monocular Height Estimation via Sparse LiDAR-Guided Correction0
Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods0
Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation0
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition0
Inference-Time Personalized Federated Learning0
On-Demand Unlabeled Personalized Federated Learning0
Inferring Latent Domains for Unsupervised Deep Domain Adaptation0
Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments0
InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research0
Enhancing General Sentiment Lexicons for Domain-Specific Use0
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay0
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation0
Information-Theoretic Analysis of Unsupervised Domain Adaptation0
Information-theoretic Multi-view Domain Adaptation0
Information-theoretic regularization for Multi-source Domain Adaptation0
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images0
Infrared Domain Adaptation with Zero-Shot Quantization0
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning0
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning0
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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