A CNN-RNN Framework with a Novel Patch-Based Multi-Attention Mechanism for Multi-Label Image Classification in Remote Sensing
arXiv: Computer Vision and Pattern Recognition, 2019.
This paper presents a novel framework that jointly exploits Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) in the context of multi-label remote sensing (RS) image classification. The proposed framework consists of four main modules. The first module aims to extract preliminary local descriptors by considering that R...More
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