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...
Guardado en:
Autores principales: | Ratnajit Mukherjee, Maximino Bessa, Pedro Melo-Pinto, Alan Chalmers |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6fd7a2dddec745eebbd50455c851607f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Model for High Dynamic Range Imaging System Using Hybrid Feature Based Exposure Fusion
por: Kiran Bagadi Ravi, et al.
Publicado: (2020) -
Mandibular Range Movement in Pediatric Patients
por: Iturriaga,Veronica, et al.
Publicado: (2017) -
Productivity and Quality of Sorghastrum setosum (Griseb.) Hitchc. Ranges in Formosa, Argentina
por: Bernardis,Aldo C., et al.
Publicado: (2005) -
Dual Cluster Model for Medium-Range Order in Metallic Glasses
por: Masato Shimono, et al.
Publicado: (2021) -
Mobile Eye-Tracking Data Analysis Using Object Detection via YOLO v4
por: Niharika Kumari, et al.
Publicado: (2021)