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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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| Главные авторы: | , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2018-10-01
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| Серии: | Frontiers in Neurorobotics |
| Предметы: | |
| Online-ссылка: | https://www.frontiersin.org/article/10.3389/fnbot.2018.00064/full |
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