A Comparative Study of Deep Learning-based Depth Estimation Approaches: Application to Smart Mobility - Archive ouverte HAL
Conference Papers Year : 2021

A Comparative Study of Deep Learning-based Depth Estimation Approaches: Application to Smart Mobility

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Signal and Image processing
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Redouane KHEMMAR  : Connect in order to contact the contributor

https://hal.science/hal-03277346

Submitted on : Saturday, July 3, 2021-9:54:33 AM

Last modification on : Friday, December 22, 2023-3:16:05 PM

Long-term archiving on : Monday, October 4, 2021-6:03:15 PM

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hal-03277346 , version 1 (03-07-2021)

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  • HAL Id : hal-03277346 , version 1

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Antoine Mauri, Redouane Khemmar, Benoit Decoux, Tahar Ben Moumen, Madjid Haddad, et al.. A Comparative Study of Deep Learning-based Depth Estimation Approaches: Application to Smart Mobility. 8th International Conference on Smart Computing and Communications (ICSCC 2021), Jul 2021, Kochi, India. ⟨hal-03277346⟩

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