Real-time segmentation of weeds in cornfields based on depthwise separable convolution residual network
Author:
Publisher
Inderscience Publishers
Subject
Computational Theory and Mathematics,Computational Mathematics,Hardware and Architecture,Modeling and Simulation,Software
Cited by 5 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. A Weakly Supervised Semantic Segmentation Model of Maize Seedlings and Weed Images Based on Scrawl Labels;Sensors;2023-12-15
2. MSFCA-Net: A Multi-Scale Feature Convolutional Attention Network for Segmenting Crops and Weeds in the Field;Agriculture;2023-05-31
3. Improved performance on tomato pest classification via transfer learning-based deep convolutional neural network with regularisation techniques;International Journal of Computational Science and Engineering;2023
4. An energy-efficient AkidaNet for morphologically similar weeds and crops recognition at the Edge;2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA);2022-11-30
5. Joint training with the edge detection network for salient object detection;International Journal of Computational Science and Engineering;2022
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