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 44514500 of 6439 papers

TitleStatusHype
A Two-stage Approach for Extending Event Detection to New Types via Neural Networks0
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation0
A Two-Step Framework for Multi-Material Decomposition of Dual Energy Computed Tomography from Projection Domain0
A Two-Step Learning Method For Detecting Landmarks on Faces From Different Domains0
AU-Aware Vision Transformers for Biased Facial Expression Recognition0
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images0
AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation0
Augmentation-based Domain Generalization for Semantic Segmentation0
Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification0
Augmentation based unsupervised domain adaptation0
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks0
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation0
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding0
A Unified Deep Learning Approach for Prediction of Parkinson's Disease0
A Unified Deep Neural Network for Speaker and Language Recognition0
A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification0
A Unified Framework for Heterogeneous Semi-supervised Learning0
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting0
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation0
A Unified Multi-Task Semantic Communication System with Domain Adaptation0
A Unified Perspective on Multi-Domain and Multi-Task Learning0
A Unified Pre-training and Adaptation Framework for Combinatorial Optimization on Graphs0
A Universal Degradation-based Bridging Technique for Domain Adaptive Semantic Segmentation0
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation0
Autoapprentissage pour le regroupement en locuteurs : premi\`eres investigations (First investigations on self trained speaker diarization )0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation0
Domain Adaptation for Code Model-based Unit Test Case Generation0
Automated Video Labelling: Identifying Faces by Corroborative Evidence0
Automatic 8-tissue Segmentation for 6-month Infant Brains0
Automatically identifying implicit discourse relations using annotated data and raw corpora (Identification automatique des relations discursives « implicites » \`a partir de donn\'ees annot\'ees et de corpus bruts) [in French]0
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit0
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information0
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations0
Automatic Domain Adaptation by Transformers in In-Context Learning0
Automatic Domain Adaptation for Word Sense Disambiguation Based on Comparison of Multiple Classifiers0
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes0
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference0
Automatic Extraction of Time Expressions Accross Domains in French Narratives0
Automatic Features for Essay Scoring -- An Empirical Study0
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation0
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression0
Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains0
Automatic Threshold Detection for Data Selection in Machine Translation0
Automatic Translation of Scientific Documents in the HAL Archive0
Auxiliary Task Reweighting for Minimum-data Learning0
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving0
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability0
AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR0
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