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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 1–10 of 39 papers

Title	Date	Tasks	Status	Hype
ConvLoRA and AdaBN based Domain Adaptation via Self-Training	Feb 7, 2024	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	2
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
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation	Nov 17, 2021	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	1
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer	Apr 13, 2021	Domain AdaptationIncremental Learning	CodeCode Available	1
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation	Apr 1, 2021	Blended-target Domain AdaptationDomain Adaptation	CodeCode Available	1
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation	Jul 14, 2020	Domain AdaptationKnowledge Distillation	CodeCode Available	1

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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