SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection

SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection

This paper proposes a novel Squeeze-and-excitation-based Mask Region Convolutional Neural Network (SEM-RCNN) for Environmental Microorganisms (EM) detection tasks. Mask RCNN, one of the most applied object detection models, uses ResNet for feature extraction. However, ResNet cannot combine the featu...

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Bibliographic Details
Main Authors: Jiawei Zhang, Pingli Ma, Tao Jiang, Xin Zhao, Wenjun Tan, Jinghua Zhang, Shuojia Zou, Xinyu Huang, Marcin Grzegorzek, Chen Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
environmental microorganisms
object detection
deep learning
Online Access:https://www.mdpi.com/2076-3417/12/19/9902

Internet

https://www.mdpi.com/2076-3417/12/19/9902

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