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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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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2018-10-01
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| Serie: | Frontiers in Neurorobotics |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/article/10.3389/fnbot.2018.00064/full |
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