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 3139 of 39 papers

TitleStatusHype
Curriculum Graph Co-Teaching for Multi-Target Domain AdaptationCode1
Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection0
Unsupervised Multi-Target Domain Adaptation Through Knowledge DistillationCode1
Minimum Class Confusion for Versatile Domain AdaptationCode0
Blending-target Domain Adaptation by Adversarial Meta-Adaptation NetworksCode0
Domain Agnostic Learning with Disentangled RepresentationsCode0
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging0
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach0
Unsupervised Domain Adaptation by BackpropagationCode1
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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