FB-CNN: Feature Fusion-Based Bilinear CNN for Classification of Fruit Fly Image

FB-CNN: Feature Fusion-Based Bilinear CNN for Classification of Fruit Fly Image

The high-resolution devices for image capturing and the high professional requirement for users, are very complex to extract features of the fruit fly image for classification. Therefore, a bilinear CNN model based on the mid-level and high-level feature fusion (FB-CNN) is proposed for classifying t...

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Bibliographic Details
Main Authors: Yingqiong Peng, Muxin Liao, Yuxia Song, Zhichao Liu, Huojiao He, Hong Deng, Yinglong Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fruit fly images
feature fusion
convolution neural network
image classification
Online Access:https://ieeexplore.ieee.org/document/8939406/

Internet

https://ieeexplore.ieee.org/document/8939406/

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