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An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery

An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery

Safa Ben Atitallah
Maha Driss
W. Boulila
Anis Koubaa
Nesrine Atitallah
Henda Ben Ghézala
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Papers citing "An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery"

8 / 8 papers shown
Title
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification
Danfeng Hong
Lianru Gao
Naoto Yokoya
Jing Yao
Jocelyn Chanussot
Q. Du
Bing Zhang
50
959
0
12 Aug 2020
Deep Randomized Neural Networks
Deep Randomized Neural Networks
Claudio Gallicchio
Simone Scardapane
OOD
62
62
0
27 Feb 2020
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
100
822
0
31 Dec 2019
Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies
Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies
Hongning Dai
Hao Wang
Guangquan Xu
J. Wan
Muhammad Imran
28
250
0
01 Sep 2019
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters
Grzegorz Dudek
ODL
20
10
0
15 Aug 2019
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
M. Mohammadi
Ala I. Al-Fuqaha
Sameh Sorour
Mohsen Guizani
62
1,053
0
09 Dec 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
519
149,474
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
240
43,511
0
17 Sep 2014

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