SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection

Pedestrian detection plays an important role in many applications such as autonomous driving. We propose a method that explores semantic segmentation results as self-attention cues to significantly improve the pedestrian de–tection performance.

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Chengju Zhou, Meiqing Wu, Siew-Kei Lam (2024). Dataset: SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection. https://doi.org/10.57702/0xymrr82

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1902.09080
Author Chengju Zhou
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Meiqing Wu
Siew-Kei Lam
Homepage https://arxiv.org/abs/1805.08688