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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...

詳細記述

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書誌詳細
主要な著者: Tianrui Liu, Tania Stathaki
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2018-10-01
シリーズ:Frontiers in Neurorobotics
主題:
オンライン・アクセス:https://www.frontiersin.org/article/10.3389/fnbot.2018.00064/full
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