Deep-Sea Debris Identification Using Deep Convolutional Neural Networks

Deep-Sea Debris Identification Using Deep Convolutional Neural Networks

Deep-sea debris is a globally growing problem, which is negatively impacting biological and chemical ecosystems. More seriously, the debris is likely to persist in the deep sea for long periods. Fortunately, with the help of the debris detection system the submersibles can clean up the debris. An ex...

Full description

Bibliographic Details
Main Authors: Bing Xue, Baoxiang Huang, Ge Chen, Haitao Li, Weibo Wei
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Channel shuffle
deep convolutional neural network
deep-sea debris identification
deep-sea debris image dataset
group convolution
sea floor
Online Access:https://ieeexplore.ieee.org/document/9524516/

Internet

https://ieeexplore.ieee.org/document/9524516/

Similar Items