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 49515000 of 6439 papers

TitleStatusHype
Data Augmentation and Resolution Enhancement using GANs and Diffusion Models for Tree Segmentation0
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging0
Data Augmentation for Spoken Language Understanding via Joint Variational Generation0
DATa: Domain Adaptation-Aided Deep Table Detection Using Visual-Lexical Representations0
Data-Driven Offline Decision-Making via Invariant Representation Learning0
Data-driven Regularized Inference Privacy0
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation0
Data-Efficient Methods for Dialogue Systems0
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation0
Data-Free Knowledge Transfer: A Survey0
Content Preserving Image Translation with Texture Co-occurrence and Spatial Self-Similarity for Texture Debiasing and Domain Adaptation0
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data0
Data point selection for genre-aware parsing0
Data Priming Network for Automatic Check-Out0
Data Selection for IT Texts using Paragraph Vector0
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation0
Data Techniques For Online End-to-end Speech Recognition0
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model0
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation0
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild0
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images0
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights0
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation0
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images0
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 20
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation0
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning0
Decentralized Entropic Optimal Transport for Distributed Distribution Comparison0
Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation0
DeceptionNet: Network-Driven Domain Randomization0
Decision Rule Elicitation for Domain Adaptation0
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation0
Decomposable Neural Paraphrase Generation0
Decomposition-Based Domain Adaptation for Real-World Font Recognition0
Decoupled Structure for Improved Adaptability of End-to-End Models0
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
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance0
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification0
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves0
Deep-based quality assessment of medical images through domain adaptation0
Deep causal representation learning for unsupervised domain adaptation0
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement0
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification0
Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation0
Deep DA for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labeled Videos0
Deep Detector Health Management under Adversarial Campaigns0
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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