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Robert Marsden
Robert Marsden
在 iss.uni-stuttgart.de 的电子邮件经过验证
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引用次数
引用次数
年份
Robust mean teacher for continual and gradual test-time adaptation
M Döbler, RA Marsden, B Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
762023
Contrastive learning and self-training for unsupervised domain adaptation in semantic segmentation
RA Marsden, A Bartler, M Döbler, B Yang
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
242022
Accurate optoacoustic and inertial 3-D pose tracking of moving objects with particle filtering
D Esslinger, P Rapp, S Wiertz, H Rendich, R Marsden, O Sawodny, ...
IEEE Transactions on Instrumentation and Measurement 69 (3), 893-906, 2019
192019
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction
RA Marsden, M Döbler, B Yang
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
182024
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer
RA Marsden, F Wiewel, M Döbler, Y Yang, B Yang
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
172022
Gradual Test-Time Adaptation by Self-Training and Style Transfer
RA Marsden, M Döbler, B Yang
arXiv preprint arXiv:2208.07736, 2022
122022
Introducing Intermediate Domains for Effective Self-Training during Test-Time
RA Marsden, M Döbler, B Yang
2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024
62024
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions
G Eskandar, RA Marsden, P Pandiyan, M Döbler, K Guirguis, B Yang
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
42022
Diversity-aware buffer for coping with temporally correlated data streams in online test-time adaptation
M Döbler, F Marencke, RA Marsden, B Yang
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-time Adaptation for Vision-Language Models
M Döbler, RA Marsden, T Raichle, B Yang
arXiv preprint arXiv:2405.14977, 2024
2024
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