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 125 of 39 papers

TitleStatusHype
ConvLoRA and AdaBN based Domain Adaptation via Self-TrainingCode2
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
Unsupervised Domain Adaptation by BackpropagationCode1
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-TrainingCode1
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain AdaptationCode1
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object DetectionCode1
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain TransferCode1
CoNMix for Source-free Single and Multi-target Domain AdaptationCode1
Cooperative Self-Training for Multi-Target Adaptive Semantic SegmentationCode1
Curriculum Graph Co-Teaching for Multi-Target Domain AdaptationCode1
Unsupervised Multi-Target Domain Adaptation Through Knowledge DistillationCode1
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-IdentificationCode0
Blending-target Domain Adaptation by Adversarial Meta-Adaptation NetworksCode0
Class Overwhelms: Mutual Conditional Blended-Target Domain AdaptationCode0
COSMo: CLIP Talks on Open-Set Multi-Target Domain AdaptationCode0
Domain Agnostic Learning with Disentangled RepresentationsCode0
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point CloudsCode0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic SegmentationCode0
Minimum Class Confusion for Versatile Domain AdaptationCode0
Merge-Friendly Post-Training Quantization for Multi-Target Domain AdaptationCode0
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain AdaptationCode0
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
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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