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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 11–20 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
Open-Set Multi-Source Multi-Target Domain Adaptation	Feb 2, 2023	Domain AdaptationGraph Attention	—Unverified	0
Cyclically Disentangled Feature Translation for Face Anti-spoofing	Dec 7, 2022	DisentanglementDomain Adaptation	CodeCode Available	1
CoNMix for Source-free Single and Multi-target Domain Adaptation	Nov 7, 2022	Domain AdaptationKnowledge Distillation	CodeCode Available	1
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation	Oct 4, 2022	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	1
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training	Oct 3, 2022	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	1
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection	Sep 14, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1
PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition	Sep 9, 2022	Action RecognitionDomain Adaptation	—Unverified	0
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification	Aug 25, 2022	Domain AdaptationMulti-target Domain Adaptation	—Unverified	0
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification	May 12, 2022	Domain AdaptationKnowledge Distillation	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