Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle
Imagery: Review and Experimental Comparisons

Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons

14 November 2023

Ryan Wen Liu

Papers citing "Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons"

7 / 7 papers shown

Title
TAU: A Framework for Video-Based Traffic Analytics Leveraging Artificial Intelligence and Unmanned Aerial Systems Bilel Benjdira Anis Koubaa A. Azar Zahid Khan Adel Ammar W. Boulila 21 26 0 01 Mar 2023
Deep Image Deblurring: A Survey Kaihao Zhang Wenqi Ren Wenhan Luo Wei-Sheng Lai B. Stenger Ming-Hsuan Yang Hongdong Li 90 237 0 26 Jan 2022
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection W. Qian Xue Yang Silong Peng Junchi Yan Xiujuan Zhang 49 41 0 24 Sep 2021
Extended Feature Pyramid Network for Small Object Detection Chunfang Deng Mengmeng Wang L. Liu Yong Liu ObjD 56 239 0 16 Mar 2020
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance Ilker Bozcan Erdal Kayacan 49 136 0 31 Jan 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 183 21,813 0 09 Dec 2016