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Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network

Convolutional neural networks (CNN) have enabled significant improvements in pedestrian detection owing to the strong representation ability of the CNN features. However, it is generally difficult to reduce false positives on hard negative samples such as tree leaves, traffic lights, poles, etc. Som...

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Détails bibliographiques
Auteurs principaux: Tianrui Liu, Tania Stathaki
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2018-10-01
Collection:Frontiers in Neurorobotics
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Accès en ligne:https://www.frontiersin.org/article/10.3389/fnbot.2018.00064/full
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