Mikel Menta Garde

2019202020211 8 38

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Joost van de WeijerComputer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
Xialei Liu (刘夏雷)School of Informatics, University of EdinburghVerified email at cvc.uab.es
Chenshen WuUniversitat Autònoma de BarcelonaVerified email at cvc.uab.es
Luis HerranzComputer Vision Center, BarcelonaVerified email at cvc.uab.es
Bartłomiej TwardowskiComputer Vision Center, UABVerified email at cvc.uab.es
Marc MasanaPhD, Graz University of TechnologyVerified email at icg.tugraz.at
Adriana Romero-SorianoFacebook AI ResearchVerified email at fb.com

Mikel Menta Garde

Applied researcher, Wide Eyes Technologies

Verified email at wide-eyes.it - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generative Feature Replay For Class-Incremental Learning X Liu, C Wu, M Menta, L Herranz, B Raducanu, AD Bagdanov, S Jui, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	28	2020
Class-incremental learning: survey and performance evaluation M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, J van de Weijer arXiv preprint arXiv:2010.15277, 2020	19	2020
Learning to adapt class-specific features across domains for semantic segmentation M Menta, A Romero, J van de Weijer arXiv preprint arXiv:2001.08311, 2020	1	2020
Análisis y segmentación de la población de la red de salud mental del Servicio Navarro de Salud-Osasunbidea M Menta Garde		2017
Biological inspiration of replay methods for continual learning in deep learning M Menta

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