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Illuminating Pedestrians via Simultaneous Detection & Segmentation
[article]
2017
arXiv
pre-print
Pedestrian detection is a critical problem in computer vision with significant impact on safety in urban autonomous driving. In this work, we explore how semantic segmentation can be used to boost pedestrian detection accuracy while having little to no impact on network efficiency. We propose a segmentation infusion network to enable joint supervision on semantic segmentation and pedestrian detection. When placed properly, the additional supervision helps guide features in shared layers to
arXiv:1706.08564v1
fatcat:neyvb7kkbjbvjpanneycxrfkfi