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 1120 of 39 papers

TitleStatusHype
Unsupervised Multi-Target Domain Adaptation Through Knowledge DistillationCode1
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation0
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification0
Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection0
Multi-Target Domain Adaptation with Collaborative Consistency Learning0
Open-Set Multi-Source Multi-Target Domain Adaptation0
PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition0
OurDB: Ouroboric Domain Bridging for Multi-Target Domain Adaptive Semantic Segmentation0
Reiterative Domain Aware Multi-Target Adaptation0
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention0
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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