Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms

Author:

McLeay Alistair John,McGhie Abigail,Briscoe Dana,Bi Ying,Xue Bing,Vennell Ross,Zhang Mengjie

Publisher

IEEE

Cited by 7 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. DANet-SMIW: An Improved Model for Island Waterline Segmentation Based on DANet;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels;2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ);2023-11-29

3. A new multi-object tracking pipeline based on computer vision techniques for mussel farms;Journal of the Royal Society of New Zealand;2023-07-30

4. Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation;2022 IEEE Symposium Series on Computational Intelligence (SSCI);2022-12-04

5. Improved PSPNet-based water shoreline detection in complex inland river scenarios;Complex & Intelligent Systems;2022-06-27

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