Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference54 articles.
1. Espeland M, Breinholt J, Willmott KR, Warren AD, Vila R, Toussaint EF, Maunsell SC, Aduse-Poku K, Talavera G, Eastwood R et al (2018) A comprehensive and dated phylogenomic analysis of butterflies. Curr Biol 28(5):770–778
2. LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436–444
3. Wang X, Zhao Y, Pourpanah F (2020) Recent advances in deep learning
4. Xie J, Hou Q, Shi Y, Peng L, Jing L, Zhuang F, Zhang J, Tang X, Xu S-Q (2018) The automatic identification of butterfly species. J Comput Res Dev 55(8):1609–1618
5. Xie J, Lu Y, Wu Z, Xu S-q, Grant PW (2021) Investigations of butterfly species identification from images in natural environments. Int J Mach Learn Cybern 12:2431–2442
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. ReLU Activated Attention UNet Encipher Decipher Framework based Species Classification of Butterfly;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21
2. Deep Convolutional Neural Networks for Automated Butterfly Species Recognition and Classification;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03
3. MRFB-Net for Identifying Butterfly Species Via Images Taken in the Field Environments;2023 International Conference on Machine Learning and Cybernetics (ICMLC);2023-07-09