Deep Learning Based on Parallel CNNs for Pedestrian Detection
Recently, deep learning methods, mostly algorithms based on Deep Convolutional Neural Networks (DCNNs) have yielded great results on pedestrian detection. Algorithms based on DCNNs spontaneously learn features in a supervised manner and are able to learn qualified high level feature representations...
Main Authors: | Mahmoud Saeidi, Ali Ahmadi |
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Format: | Article |
Language: | English |
Published: |
Iran Telecom Research Center
2018-12-01
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Series: | International Journal of Information and Communication Technology Research |
Subjects: | |
Online Access: | http://ijict.itrc.ac.ir/article-1-410-en.html |
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