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Application of deep learning to camera trap data for ecologists in
  planning / engineering -- Can captivity imagery train a model which
  generalises to the wild?

Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?

24 November 2021
Ryan Curry
Cameron Trotter
A. Mcgough
ArXivPDFHTML

Papers citing "Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?"

4 / 4 papers shown
Title
Metadata augmented deep neural networks for wild animal classification
Metadata augmented deep neural networks for wild animal classification
Aslak Tøn
Ammar Ahmed
Ali Shariq Imran
Mohib Ullah
R. Muhammad Atif Azad
24
0
0
07 Sep 2024
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
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
20,471
0
17 Apr 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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