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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Yang Li, Huahu Xu, Minjie Bian, Junsheng Xiao
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2020-02-01
श्रृंखला:Sensors
विषय:
pedestrian attribute recognition
convolutional neutral networks (cnn)
conventional long short-term memory (convlstm)
channel attention (catt)
multi-label classification
ऑनलाइन पहुंच:https://www.mdpi.com/1424-8220/20/3/811
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