Object Detection Under Challenging Lighting Conditions Using High Dynamic Range Imagery

Most Convolution Neural Network (CNN) based object detectors, to date, have been optimized for accuracy and/or detection performance on datasets typically comprised of well exposed 8-bits/pixel/channel Standard Dynamic Range (SDR) images. A major existing challenge in this area is to accurately dete...

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Autores principales: Ratnajit Mukherjee, Maximino Bessa, Pedro Melo-Pinto, Alan Chalmers
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/6fd7a2dddec745eebbd50455c851607f
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