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 43014350 of 6439 papers

TitleStatusHype
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data0
Improving Robustness and Generality of NLP Models Using Disentangled Representations0
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling0
Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge0
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation0
Chemical Property Prediction Under Experimental Biases0
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object DetectionCode1
Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision0
Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss0
Similarity-based data mining for online domain adaptation of a sonar ATR system0
Transformer Based Multi-Source Domain AdaptationCode1
Unsupervised Domain Adaptation by Uncertain Feature AlignmentCode0
Deep Transparent Prediction through Latent Representation Analysis0
Revisiting the Threat Space for Vision-based Keystroke Inference AttacksCode0
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy ImagesCode1
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
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and RelaxationCode1
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation0
Improving colonoscopy lesion classification using semi-supervised deep learning0
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation0
Libri-Adapt: A New Speech Dataset for Unsupervised Domain AdaptationCode1
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation0
Cross-domain Adaptation with Discrepancy Minimization for Text-independent Forensic Speaker Verification0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines0
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic ModelsCode1
Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the WildCode1
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency0
A general approach to bridge the reality-gap0
Unsupervised Domain Adaptation For Plant Organ CountingCode1
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation0
Unsupervised Domain Adaptation with Progressive Adaptation of SubspacesCode0
A Review of Single-Source Deep Unsupervised Visual Domain AdaptationCode3
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges0
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation0
Instance Adaptive Self-Training for Unsupervised Domain AdaptationCode1
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation0
Domain Adaptation Through Task DistillationCode1
DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed RadiographsCode0
Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation networkCode1
Disentangled Representations for Domain-generalized Cardiac SegmentationCode1
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation0
Robust Character Labeling in Movie Videos: Data Resources and Self-supervised Feature Adaptation0
A simple method for domain adaptation of sentence embeddings0
A Discriminative Technique for Multiple-Source Adaptation0
Continual Domain Adaptation for Machine Reading Comprehension0
Learning Target Domain Specific Classifier for Partial Domain Adaptation0
Graphical Object Detection in Document ImagesCode1
Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-IDCode1
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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