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: | , , , |
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Formato: | article |
Lenguaje: | EN |
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IEEE
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/6fd7a2dddec745eebbd50455c851607f |
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