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 23512400 of 6439 papers

TitleStatusHype
Findings of the Second Workshop on Neural Machine Translation and Generation0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification0
A cross-domain recommender system using deep coupled autoencoders0
Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification0
Cross Domain Adaptation using Adversarial networks with Cyclic loss0
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding0
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation0
Cross-Domain Adaptation for Animal Pose Estimation0
Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation0
Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation0
Fine-grained Unsupervised Domain Adaptation for Gait Recognition0
Cross Domain Adaptation by Learning Partially Shared Classifiers and Weighting Source Data Points in the Shared Subspaces0
Cross-domain Activity Recognition via Substructural Optimal Transport0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images0
Cross-Dataset Adaptation for Visual Question Answering0
Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection0
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models0
Cross-Database Micro-Expression Recognition: A Benchmark0
Matching Embeddings for Domain Adaptation0
Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation0
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks0
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation0
Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering0
Augmentation based unsupervised domain adaptation0
Filtered Manifold Alignment0
CRISP: Object Pose and Shape Estimation with Test-Time Adaptation0
Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification0
Filtering Back-Translated Data in Unsupervised Neural Machine Translation0
Credal Learning Theory0
Creating POS Tagging and Dependency Parsing Experts via Topic Modeling0
Augmentation-based Domain Generalization for Semantic Segmentation0
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency0
AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation0
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate0
Financial Aspect-Based Sentiment Analysis using Deep Representations0
Findings of the 2014 Workshop on Statistical Machine Translation0
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models0
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation0
GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators0
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures0
COVID-19 therapy target discovery with context-aware literature mining0
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images0
Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation0
Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection0
Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis0
Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation to Multiple Image Corruptions0
Adversarial Transfer of Pose Estimation Regression0
Few-Shot Object Detection in Unseen Domains0
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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