Deep learning-based visual detection of marine organisms: A survey

N Wang, T Chen, S Liu, R Wang, HR Karimi, Y Lin - Neurocomputing, 2023 - Elsevier
Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

Counting method for cultured fishes based on multi-modules and attention mechanism

X Yu, Y Wang, D An, Y Wei - Aquacultural Engineering, 2022 - Elsevier
Fish counting is of great significance for aquaculture companies to formulate feeding
strategies and management plans. Preceding computer vision methods are difficult to solve …

[HTML][HTML] An iterative labeling method for annotating marine life imagery

Z Zhang, P Kaveti, H Singh, A Powell, E Fruh… - Frontiers in Marine …, 2023 - frontiersin.org
This paper presents a labeling methodology for marine life data using a weakly supervised
learning framework. The methodology iteratively trains a deep learning model using non …

面向海洋牧场智能化建设的海珍品实时检测方法.

洪亮, 王芳, 蔡克卫, 陈鹏宇… - Transactions of the …, 2021 - search.ebscohost.com
海珍品检测对海洋牧场的智能化建设至关重要, 在实时性和准确性方面仍有待提高.
该研究提出一种改进的YOLOv3 海珍品检测方法. 利用深度可分离卷积替代YOLOv3 …

Sea treasure target detection based on improved Yolov7 and TensorRT deployments

X Shi, M Liu, S Zhou, X Tang, K Cai, J Song, Y Zhao - 2023 - IET
With the increasing demand for sea treasures such as sea cucumbers, sea urchins, and
shells in the market, the global aquaculture industry has been booming. However, traditional …