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Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition
As a result of its important role in video surveillance, pedestrian attribute recognition has become an attractive facet of computer vision research. Because of the changes in viewpoints, illumination, resolution and occlusion, the task is very challenging. In order to resolve the issue of unsatisfa...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7038686/ https://ncbi.nlm.nih.gov/pubmed/32028568 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20030811 |
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