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...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Hoofdauteurs: Yang Li, Huahu Xu, Minjie Bian, Junsheng Xiao
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2020-02-01
Reeks:Sensors
Onderwerpen:
pedestrian attribute recognition
convolutional neutral networks (cnn)
conventional long short-term memory (convlstm)
channel attention (catt)
multi-label classification
Online toegang:https://www.mdpi.com/1424-8220/20/3/811
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items