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Scale-Sensitive Feature Reassembly Network for Pedestrian Detection
Serious scale variation is a key challenge in pedestrian detection. Most works typically employ a feature pyramid network to detect objects at diverse scales. Such a method suffers from information loss during channel unification. Inadequate sampling of the backbone network also affects the power of...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234486/ https://www.ncbi.nlm.nih.gov/pubmed/34207219 http://dx.doi.org/10.3390/s21124189 |