Object detection utilizing modified auto encoder and convolutional neural networks

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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

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