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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Yang Li, Huahu Xu, Minjie Bian, Junsheng Xiao
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2020-02-01
Saila:Sensors
Gaiak:
pedestrian attribute recognition
convolutional neutral networks (cnn)
conventional long short-term memory (convlstm)
channel attention (catt)
multi-label classification
Sarrera elektronikoa:https://www.mdpi.com/1424-8220/20/3/811
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