CF-CNN: Coarse-to-Fine Convolutional Neural Network

CF-CNN: Coarse-to-Fine Convolutional Neural Network

In this paper, we present a coarse-to-fine convolutional neural network (CF-CNN) for learning multilabel classes. The basis of the proposed CF-CNN is a disjoint grouping method that first creates a class group with hierarchical association, and then assigns a new label to a class belonging to each g...

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Bibliographic Details
Main Authors: Jinho Park, Heegwang Kim, Joonki Paik
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
deep learning
convolutional neural network
image classification
Online Access:https://www.mdpi.com/2076-3417/11/8/3722

Internet

https://www.mdpi.com/2076-3417/11/8/3722

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