CF-CNN: Coarse-to-Fine Convolutional Neural Network
Abstract
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 group so that each class acquires multiple labels. CF-CNN consists of one main network and two subnetworks. Each subnetwork performs coarse prediction...
Paper Details
Title
CF-CNN: Coarse-to-Fine Convolutional Neural Network
Published Date
Apr 20, 2021
Journal
Volume
11
Issue
8
Pages
3722 - 3722
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