SemanticAlignNet
Neural Network-based model implemented for the paper A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
Neural Network-based model implemented for the paper A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
Published in 9th Scholar's Yearly Symposium of Technology, Engineering and Mathematics, SYSTEM 2023, 2023
This paper is about estimating the distance of fixed traffic signs from a camera mounted on a moving vehicle.
Text citation:
Giorgio Leporoni, Valerio Ponzi, Francesco Pro, & Christian Napoli (2023). Distance Estimation of Fixed Objects in Driving Environments. In Proceedings of the 9th Scholar's Yearly Symposium of Technology, Engineering and Mathematics, Rome, Italy, December 3-6, 2023 (pp. 17–24). CEUR-WS.org
Published in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
Paper about Ground-to-Aerial Image Matching.
Text citation:
F. Pro, N. Dionelis, L. Maiano, B. L. Saux and I. Amerini, "A Semantic Segmentation-Guided Approach for Ground-to-Aerial Image Matching," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 2630-2635
Published in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024
This paper is about generating the semantic segmentation of unlabeled satellite images.
Text citation:
N. Dionelis, F. Pro, L. Maiano, I. Amerini and B. L. Saux, "Learning from Unlabelled data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 8167-8172, doi: 10.1109/IGARSS53475.2024.10641541.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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