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 1–25 of 39 papers

Title	Date	Tasks	Status	Hype
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation	May 29, 2025	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	0
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains	Mar 8, 2025	Decision MakingDomain Adaptation	—Unverified	0
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation	Aug 31, 2024	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	0
Training-Free Model Merging for Multi-target Domain Adaptation	Jul 18, 2024	Domain AdaptationMulti-target Domain Adaptation	—Unverified	0
OurDB: Ouroboric Domain Bridging for Multi-Target Domain Adaptive Semantic Segmentation	Mar 18, 2024	Domain AdaptationMulti-target Domain Adaptation	—Unverified	0
ConvLoRA and AdaBN based Domain Adaptation via Self-Training	Feb 7, 2024	Domain AdaptationMulti-target Domain Adaptation	CodeCode Available	2
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention	Jan 15, 2024	Domain AdaptationMulti-target Domain Adaptation	—Unverified	0
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation	Sep 19, 2023	Domain AdaptationMulti-target Domain Adaptation	—Unverified	0
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation	Sep 12, 2023	DiversityDomain Adaptation	—Unverified	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
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
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation	Mar 14, 2022	AttributeDomain 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
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions	Mar 7, 2022	2D Object DetectionAutonomous Driving	—Unverified	0
argmax centroid	Dec 1, 2021	Domain AdaptationFew-Shot Image Classification	—Unverified	0
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

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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	[email protected]	66.64	—	Unverified