SOTAVerified

Multi-target Domain Adaptation

The idea of Multi-target Domain Adaptation is to adapt a model from a single labelled source domain to multiple unlabelled target domains.

Papers

Showing 2130 of 39 papers

TitleStatusHype
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation0
argmax centroid0
Training-Free Model Merging for Multi-target Domain Adaptation0
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach0
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging0
Federated Multi-Target Domain Adaptation0
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions0
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains0
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-IdentificationCode0
Blending-target Domain Adaptation by Adversarial Meta-Adaptation NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MCDAAccuracy89.6Unverified
2DCGCTAccuracy88.8Unverified
3MT-MTDAAccuracy85.2Unverified
4AMEANAccuracy80.2Unverified
5RevGradAccuracy73.4Unverified
#ModelMetricClaimedVerifiedStatus
1MCDAAccuracy34.5Unverified
2DCGCTAccuracy34.4Unverified
3MCCAccuracy28.8Unverified
4DADAAccuracy21.5Unverified
#ModelMetricClaimedVerifiedStatus
1MCDAAccuracy71.1Unverified
2DCGCTAccuracy69.8Unverified
3AMEANAccuracy64Unverified
4RevGradAccuracy57.9Unverified
#ModelMetricClaimedVerifiedStatus
1STMDA-RetinaNetmAP@0.566.64Unverified