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 56015650 of 6439 papers

TitleStatusHype
Extracting and Selecting Relevant Corpora for Domain Adaptation in MT0
Extraction of Russian Sentiment Lexicon for Product Meta-Domain0
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks0
Extreme Learning Machine-Based Heterogeneous Domain Adaptation for Classification of Hyperspectral Images0
Face Detection in the Operating Room: Comparison of State-of-the-art Methods and a Self-supervised Approach0
FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition0
Factorized Adversarial Networks for Unsupervised Domain Adaptation0
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing0
Fairness Violations and Mitigation under Covariate Shift0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors0
Fake It Till You Make It: Face analysis in the wild using synthetic data alone0
Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels0
FAST3D: Flow-Aware Self-Training for 3D Object Detectors0
Fast Adaptation with Linearized Neural Networks0
Fast and Adaptive Online Training of Feature-Rich Translation Models0
Fast and Sample-Efficient Domain Adaptation for Autoencoder-Based End-to-End Communication0
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning0
Fast Domain Adaptation for Neural Machine Translation0
Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention0
Fast Domain Adaptation of SMT models without in-Domain Parallel Data0
Fast Easy Unsupervised Domain Adaptation with Marginalized Structured Dropout0
Fast Gated Neural Domain Adaptation: Language Model as a Case Study0
Fast OT for Latent Domain Adaptation0
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers0
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning0
Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network0
Fault Diagnosis in New Wind Turbines using Knowledge from Existing Turbines by Generative Domain Adaptation0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks0
Feasibility of Transfer Learning: A Mathematical Framework0
Feature Alignment and Restoration for Domain Generalization and Adaptation0
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation0
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance0
Feature Based Methods in Domain Adaptation for Object Detection: A Review Paper0
Cross-tokamak Disruption Prediction based on Physics-Guided Feature Extraction and domain adaptation0
Feature Fusion and Knowledge-Distilled Multi-Modal Multi-Target Detection0
Feature-Level Domain Adaptation0
Feature Selection as Causal Inference: Experiments with Text Classification0
Feature Selection for Unsupervised Domain Adaptation using Optimal Transport0
Feature-Weighted MMD-CORAL for Domain Adaptation in Power Transformer Fault Diagnosis0
FedDA-TSformer: Federated Domain Adaptation with Vision TimeSformer for Left Ventricle Segmentation on Gated Myocardial Perfusion SPECT Image0
Federated Adversarial Domain Adaptation0
Federated Covariate Shift Adaptation for Missing Target Output Values0
Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation0
Federated Domain Adaptation for ASR with Full Self-Supervision0
Federated Domain Generalization: A Survey0
Federated Multi-Target Domain Adaptation0
Federated Multi-View Synthesizing for Metaverse0
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer0
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data0
Federated Transfer Component Analysis Towards Effective VNF Profiling0
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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