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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
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation	Feb 3, 2023	Blended-target Domain AdaptationDomain Adaptation	CodeCode Available	0
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation	Aug 31, 2024	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	0
Domain Agnostic Learning with Disentangled Representations	Apr 28, 2019	General Classificationimage-classification	CodeCode Available	0
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds	Apr 4, 2023	Autonomous DrivingDomain Adaptation	CodeCode Available	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
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation	Mar 14, 2022	AttributeDomain Adaptation	CodeCode Available	0
Minimum Class Confusion for Versatile Domain Adaptation	Dec 8, 2019	Domain AdaptationInductive Bias	CodeCode Available	0
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation	May 29, 2025	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	0
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation	Mar 7, 2022	Domain AdaptationDomain Generalization	CodeCode Available	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