Kernel pooling feature representation of pre-trained convolutional neural networks for leaf recognition-Reference-Cited by-同舟云学术

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Kernel pooling feature representation of pre-trained convolutional neural networks for leaf recognition

Published:2021-12-04 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Feng Shu^ORCID

Funder

science and technology innovation foundation project of shanxi agricultural university

natural science foundation of shanxi province of china

scientific and technologial innovation programs of higher education institutions in shanxi

National Natural Science Foundation of China

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/s11042-021-11769-0.pdf

Reference72 articles.

1. Adamek T, O’Connor NE (2004) A multiscale representation method for nonrigid shapes with a single closed contour. IEEE Transactions on Circuits and Systems for Video Technology 14(5):742–753

2. Alajlan N, El Rube I, Kamel MS, Freeman G (2007) Shape retrieval using triangle-area representation and dynamic space warping. Pattern Recognition 40(7):1911–1920

3. Araujo VM, Jr, ASB, Oliveira LES, Koerich AL (2020) Two-view fine-grained classification of plant species

4. Arribas JI, Sánchez-Ferrero GV, Ruiz-Ruiz G, Gómez-Gil J (2011) Leaf classification in sunflower crops by computer vision and neural networks. Computers and Electronics in Agriculture 78(1):9–18

5. Bai X, Wang B, Yao C, Liu W, Tu Z (2012) Co-transduction for shape retrieval. IEEE Transactions on Image Processing 21(5):2747–2757

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1. An Effective Plant Recognition Method with Feature Recalibration of Multiple Pretrained CNN and Layers;Applied Sciences;2023-04-03

2. M3SPCANet: A simple and effective ConvNets with unsupervised predefined filters for face recognition;Engineering Applications of Artificial Intelligence;2022-08

3. Parameter Selection in Elliptical Fourier Series for Leaf Classification;Deu Muhendislik Fakultesi Fen ve Muhendislik;2022-05-16

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