Deep Attention Neural Network for Multi-Label Classification in Unmanned Aerial Vehicle Imagery

Deep Attention Neural Network for Multi-Label Classification in Unmanned Aerial Vehicle Imagery

The multi-label classification problem in Unmanned Aerial Vehicle (UAV) images is particularly challenging compared to single-label classification due to its combinatorial nature. To tackle this issue, we propose in this paper a deep learning approach based on encoder-decoder neural network architec...

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Bibliographic Details
Main Authors: Aaliyah Alshehri, Yakoub Bazi, Nassim Ammour, Haidar Almubarak, Naif Alajlan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
UAV imagery
deep learning
attention neural network
multi-label image classification
Online Access:https://ieeexplore.ieee.org/document/8808853/

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