A Boundary-Guided and Lightweight Object Detector for Sonar Images
Author:
Affiliation:
1. Harbin Engineering University,College of Intelligent Science and Engineering,Harbin,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10244175/10244247/10244705.pdf?arnumber=10244705
Reference34 articles.
1. Detection rate statistics in synthetic aperture sonar images;groen;Originally published in Proceedings of the 3rd International Conference and Exhibition on Underwater Acoustic Measurements Technologies and Results 21-26 June 2009 Nafplion Greece,2009
2. Exploiting Environmental Information for Improved Underwater Target Classification in Sonar Imagery
3. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
4. Multiple Object Detection Based on Clustering and Deep Learning Methods
5. A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition
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