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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Detaylı Bibliyografya
Asıl Yazarlar: Yang Li, Huahu Xu, Minjie Bian, Junsheng Xiao
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2020-02-01
Seri Bilgileri:Sensors
Konular:
pedestrian attribute recognition
convolutional neutral networks (cnn)
conventional long short-term memory (convlstm)
channel attention (catt)
multi-label classification
Online Erişim:https://www.mdpi.com/1424-8220/20/3/811
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