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 41514200 of 6439 papers

TitleStatusHype
Adaptive Object Detection with Dual Multi-Label Prediction0
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation0
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation0
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels0
Adaptive SVM+: Learning with Privileged Information for Domain Adaptation0
Adaptive Training Distributions with Scalable Online Bilevel Optimization0
Adaptive Tree Wasserstein Minimization for Hierarchical Generative Modeling0
Adaptive Unbiased Teacher for Cross-Domain Object Detection0
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB0
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach0
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching0
ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection0
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation0
Adding syntactic structure to bilingual terminology for improved domain adaptation0
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection0
Addressing Distribution Shift at Test Time in Pre-trained Language Models0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure0
Addressing materials' microstructure diversity using transfer learning0
Addressing Slot-Value Changes in Task-oriented Dialogue Systems through Dialogue Domain Adaptation0
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation0
A Deep Fusion Model for Domain Adaptation in Phrase-based MT0
ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation0
A Dependency Parser for Tweets0
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation0
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation0
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression0
A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data0
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers0
A Domain Adaptation of Large Language Models for Classifying Mechanical Assembly Components0
A Domain Adaptation Regularization for Denoising Autoencoders0
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation0
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising0
ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation0
A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry0
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation0
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation0
Advances and Challenges in Meta-Learning: A Technical Review0
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey0
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications0
Adversarial Adaptation of Synthetic or Stale Data0
Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition0
Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation0
Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis0
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization0
Adversarial Attacks On Multi-Agent Communication0
Adversarial Bi-Regressor Network for Domain Adaptive Regression0
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge0
Adversarial Domain Adaptation Being Aware of Class Relationships0
Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images0
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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