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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 31–39 of 39 papers

Title	Date	Tasks	Status	Hype
Federated Multi-Target Domain Adaptation	Aug 17, 2021	Domain AdaptationFederated Learning	—Unverified	0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation	Jul 6, 2021	Domain AdaptationDomain Generalization	CodeCode Available	0
Multi-Target Domain Adaptation with Collaborative Consistency Learning	Jun 7, 2021	Domain AdaptationMulti-target Domain Adaptation	—Unverified	0
Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection	Mar 25, 2021	Autonomous DrivingDomain Adaptation	—Unverified	0
Minimum Class Confusion for Versatile Domain Adaptation	Dec 8, 2019	Domain AdaptationInductive Bias	CodeCode Available	0
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks	Jul 8, 2019	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	0
Domain Agnostic Learning with Disentangled Representations	Apr 28, 2019	General Classificationimage-classification	CodeCode Available	0
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging	Apr 2, 2019	Domain AdaptationMulti-target Domain Adaptation	—Unverified	0
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach	Oct 26, 2018	DisentanglementDomain Adaptation	—Unverified	0

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All datasets Office-31 DomainNet Office-Home OBJ-MDA

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MCDA	Accuracy	89.6	—	Unverified
2	DCGCT	Accuracy	88.8	—	Unverified
3	MT-MTDA	Accuracy	85.2	—	Unverified
4	AMEAN	Accuracy	80.2	—	Unverified
5	RevGrad	Accuracy	73.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MCDA	Accuracy	34.5	—	Unverified
2	DCGCT	Accuracy	34.4	—	Unverified
3	MCC	Accuracy	28.8	—	Unverified
4	DADA	Accuracy	21.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MCDA	Accuracy	71.1	—	Unverified
2	DCGCT	Accuracy	69.8	—	Unverified
3	AMEAN	Accuracy	64	—	Unverified
4	RevGrad	Accuracy	57.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STMDA-RetinaNet	mAP@0.5	66.64	—	Unverified