Adaptive weights learning in CNN feature fusion for crime scene investigation image classification

Adaptive weights learning in CNN feature fusion for crime scene investigation image classification

The combination of features from the convolutional layer and the fully connected layer of a convolutional neural network (CNN) provides an effective way to improve the performance of crime scene investigation (CSI) image classification. However, in existing work, as the weights in feature fusion do...

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Bibliographic Details
Main Authors: Liu Ying, Zhang Qian Nan, Wang Fu Ping, Chiew Tuan Kiang, Lim Keng Pang, Zhang Heng Chang, Chao Lu, Lu Guo Jun, Ling Nam
Format: Article
Language:English
Published: Taylor & Francis Group 2021-07-01
Series:Connection Science
Subjects:
convolutional neural network
auto-encoder
crime scene investigation image classification
feature fusion
Online Access:http://dx.doi.org/10.1080/09540091.2021.1875987

Internet

http://dx.doi.org/10.1080/09540091.2021.1875987

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