Redesigned Skip-Network for Crowd Counting with Dilated Convolution and Backward Connection

Crowd counting is a challenging task dealing with the variation of an object scale and a crowd density. Existing works have emphasized on skip connections by integrating shallower layers with deeper layers, where each layer extracts features in a different object scale and crowd density. However, on...

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Detalles Bibliográficos
Autores principales: Sooksatra, Sorn, Kondo, Toshiaki, Bunnun, Pished, Yoshitaka, Atsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321029/
https://www.ncbi.nlm.nih.gov/pubmed/34460730
http://dx.doi.org/10.3390/jimaging6050028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321029/
https://www.ncbi.nlm.nih.gov/pubmed/34460730
http://dx.doi.org/10.3390/jimaging6050028

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