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Towards small and accurate convolutional neural networks for acoustic
  biodiversity monitoring

Towards small and accurate convolutional neural networks for acoustic biodiversity monitoring

6 December 2023
S. Zaugg
M. V. D. Schaar
F. Erbs
Antonio Sanchez
J. V. Castell
Emiliano Ramallo
Michel André
ArXivPDFHTML

Papers citing "Towards small and accurate convolutional neural networks for acoustic biodiversity monitoring"

2 / 2 papers shown
Title
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
948
20,549
0
17 Apr 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
1