Delta tributary network—An efficient alternate approach for bottleneck layers in CNN for plant disease classification
Abstract Currently, numerous research works have been proposed for diagnosing leaf diseases using state of the art convolutional neural networks. In this work, we propose a novel architecture called “Delta Tributary Network” that is built by stacking microarchitecture blocks called delta blocks spec...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-02-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.12065 |