Object detection and classification of butterflies using efficient CNN and pre-trained deep convolutional neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17563-4.pdf
Reference28 articles.
1. Zhu L, Spachos P (2019) Butterfly Classification with Machine Learning Methodologies for an Android Application. IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1-5. https://doi.org/10.1109/GlobalSIP45357.2019.8969441
2. Kaya Y, Kayci̇ L, Sezgi̇n N (2013) Classification of butterfly images with multi-scale local binary patterns. 21st Signal Processing and Communications Applications Conference (SIU), pp 1-4. 10.1109/SIU.2013.6531283.
3. Mishra DP, Tripathy TK, Chakraborty S (2018) CNN for Butterfly Classification. International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), pp 200–205. https://doi.org/10.1109/ICRIEECE44171.2018.9008419
4. Kamaron Arzar NN, Sabri N, Mohd Johari NF, Amilah Shari A, Mohd Noordin MR, Ibrahim S (2019) Butterfly Species Identification Using Convolutional Neural Network (CNN). IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), pp 221-224. https://doi.org/10.1109/I2CACIS.2019.8825031
5. Tan A, Zhou G, He M (2020) Rapid Fine-Grained Classification of Butterflies Based on FCM-KM and Mask R-CNN Fusion. IEEE Access, vol. 8:124722–124733. https://doi.org/10.1109/ACCESS.2020.3007745
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