Transfer Learning Framework Using CNN Variants for Animal Species Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4071-4_46
Reference18 articles.
1. Nguyen H, Maclagan SJ, Nguyen TD et al (2017) Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring. In: 2017 IEEE international conference on data science and advanced Analytics (DSAA). IEEE, pp 40–49
2. Favorskaya M, Pakhirka A (2019) Animal species recognition in the wildlife based on muzzle and shape features using joint CNN. Procedia Comput Sci 159:933. https://doi.org/10.1016/j.procs.2019.09.260
3. Duyck J, Finn C, Hutcheon A et al (2015) Sloop: A pattern retrieval engine for individual animal identification. Pattern Recogn 48:1059–1073
4. Yu X, Wang J, Kays R et al (2013) Automated identification of animal species in camera trap images. EURASIP J Image Video Proc 2013:52. https://doi.org/10.1186/1687-5281-2013-52
5. Chen G, Han TX, He Z et al (2014) Deep convolutional neural network based species recognition for wild animal monitoring. In: 2014 IEEE international conference on image processing (ICIP), pp 858–862
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