Object detection utilizing modified auto encoder and convolutional neural networks

Object detection utilizing modified auto encoder and convolutional neural networks

Deep learning models are widely used in object detection area, including combination of multiple non-linear data transformations. The objective is receiving brief and concise information for feature representations. Due to the high volume of processing data, object detection in videos has been faced...

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Bibliographic Details
Main Authors: Khiarak, Jalil Nourmohammadi, Mazaheri, Samaneh, Tayebi, Rohollah Moosavi, Noorbakhsh-Devlagh, Hamid
Format: Conference or Workshop Item
Language:English
Published: IEEE 2018
Online Access:http://psasir.upm.edu.my/id/eprint/69656/
http://psasir.upm.edu.my/id/eprint/69656/1/Object%20detection%20utilizing%20modified%20auto%20encoder%20and%20convolutional%20neural%20networks.pdf

Internet

http://psasir.upm.edu.my/id/eprint/69656/
http://psasir.upm.edu.my/id/eprint/69656/1/Object%20detection%20utilizing%20modified%20auto%20encoder%20and%20convolutional%20neural%20networks.pdf

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