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 45514600 of 6439 papers

TitleStatusHype
Unsupervised Domain Adaptation by Uncertain Feature AlignmentCode0
Deep Transparent Prediction through Latent Representation Analysis0
Revisiting the Threat Space for Vision-based Keystroke Inference AttacksCode0
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation0
Adversarial Learning for Zero-shot Domain Adaptation0
Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images0
Improving colonoscopy lesion classification using semi-supervised deep learning0
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation0
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation0
Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification0
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation0
A general approach to bridge the reality-gap0
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines0
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation0
Unsupervised Domain Adaptation with Progressive Adaptation of SubspacesCode0
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges0
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation0
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation0
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation0
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed RadiographsCode0
Learning Target Domain Specific Classifier for Partial Domain Adaptation0
A simple method for domain adaptation of sentence embeddings0
Robust Character Labeling in Movie Videos: Data Resources and Self-supervised Feature Adaptation0
Continual Domain Adaptation for Machine Reading Comprehension0
A Discriminative Technique for Multiple-Source Adaptation0
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation via Discriminative Manifold Propagation0
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation0
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples0
Domain Adaptation of Learned Features for Visual Localization0
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift0
Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation0
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature AlignmentCode0
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation0
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation0
Cross-Domain Identification for Thermal-to-Visible Face RecognitionCode0
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer0
Unsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer0
First U-Net Layers Contain More Domain Specific Information Than The Last OnesCode0
Siloed Federated Learning for Multi-Centric Histopathology Datasets0
Source Free Domain Adaptation with Image Translation0
Adaptable Multi-Domain Language Model for Transformer ASR0
On Localized Discrepancy for Domain Adaptation0
Adaptation Algorithms for Neural Network-Based Speech Recognition: An OverviewCode0
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled VideosCode0
Network Architecture Search for Domain Adaptation0
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose EstimationCode0
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations0
Co-training for On-board Deep Object Detection0
Show:102550
← PrevPage 92 of 129Next →

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