An Adaptive Automatic Approach to Filtering Empty Images from Camera Traps Using a Deep Learning Model-Reference-Cited by-同舟云学术

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An Adaptive Automatic Approach to Filtering Empty Images from Camera Traps Using a Deep Learning Model

Published:2021-05-14 Issue:2 Volume:45 Page:230-236
ISSN:2328-5540
Container-title:Wildlife Society Bulletin
language:en
Short-container-title:Wildl. Soc. bull.

Author:

Yang Deng‐Qi¹,Ren Guo‐Peng²,Tan Kun²,Huang Zhi‐Pang²,Li De‐Pin²,Li Xiao‐Wei³,Wang Jian‐Ming¹,Chen Ben‐Hui¹,Xiao Wen²

Affiliation:

1. Department of Mathematics and Computer Science Dali University Dali Yunnan 671003 China

2. Institute of Eastern‐Himalaya Biodiversity Research Dali University Dali Yunnan 671003 China

3. Data Security and Application Innovation Team Dali University Dali Yunnan 671003 China

Funder

Yunnan Provincial Science and Technology Department

National Natural Science Foundation of China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wsb.1176

Reference25 articles.

1. Evaluating dall's sheep habitat use via camera traps

2. Densidad de ocelotes (Leopardus pardalis) en los llanos colombianos;Diaz‐Pulido A.;Mastozoología neotropical,2011

3. Image Super-Resolution Using Deep Convolutional Networks

4. Estimating abundances, densities, and interspecific associations in a carnivore community

5. Automatic Storage and Analysis of Camera Trap Data

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2. Wildlife monitoring with drones: A survey of end users;Wildlife Society Bulletin;2024-06-24

3. A systematic study on transfer learning: Automatically identifying empty camera trap images using deep convolutional neural networks;Ecological Informatics;2024-05

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