Cargando…
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...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
|
| Materias: | |
| 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 |