Roberto Amoroso
Roberto Amoroso
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Improving Indoor Semantic Segmentation with Boundary-Level Objectives
[ IWANN 2021 | Oral ]
We propose two loss functions that improve the semantic segmentation accuracy at the boundary level.
Roberto Amoroso
,
Lorenzo Baraldi
,
Rita Cucchiara
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Estimation of Traffic Matrices via Super-resolution and Federated Learning
[ CoNEXT 2020 | Best Poster Award ]
Inspired by the field of image processing, we propose a super-resolution technique for Internet traffic matrix inference.
Roberto Amoroso
,
Flavio Esposito
,
Maria Luisa Merani
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