A survey of modern deep learning based object detection models

SSA Zaidi, MS Ansari, A Aslam, N Kanwal… - Digital Signal …, 2022 - Elsevier
Object Detection is the task of classification and localization of objects in an image or video.
It has gained prominence in recent years due to its widespread applications. This article …

Deep learning for visual recognition and detection of aquatic animals: A review

J Li, W Xu, L Deng, Y Xiao, Z Han… - Reviews in …, 2023 - Wiley Online Library
The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …

[HTML][HTML] Hybrid-YOLO for classification of insulators defects in transmission lines based on UAV

BJ Souza, SF Stefenon, G Singh, RZ Freire - International Journal of …, 2023 - Elsevier
Transmission power lines are essential to supply electrical energy to consumption centers.
Keeping a reliable transmission system requires the early identification of faults. Image …

[HTML][HTML] Improved yolov5: Efficient object detection using drone images under various conditions

HK Jung, GS Choi - Applied Sciences, 2022 - mdpi.com
With the recent development of drone technology, object detection technology is emerging,
and these technologies can also be applied to illegal immigrants, industrial and natural …

A lightweight dead fish detection method based on deformable convolution and YOLOV4

S Zhao, S Zhang, J Lu, H Wang, Y Feng, C Shi… - … and Electronics in …, 2022 - Elsevier
The proposal of deep neural network achieves intelligent detection of abnormal fish
behaviors. However, with the increase of network depth, the defects of large training memory …

Recent advances of target tracking applications in aquaculture with emphasis on fish

Y Mei, B Sun, D Li, H Yu, H Qin, H Liu, N Yan… - … and Electronics in …, 2022 - Elsevier
In aquaculture, Behavioral monitoring of fish contributes to scientific management and
reduces the threat of loss from disease and stress. Fish tracking technology plays an …

Optimizing the hyperparameter tuning of YOLOv5 for underwater detection

IS Isa, MSA Rosli, UK Yusof, MIF Maruzuki… - IEEE …, 2022 - ieeexplore.ieee.org
This study optimized the latest YOLOv5 framework, including its subset models, with training
on different datasets that differed in image contrast and cloudiness to assess model …

Fast detection of cannibalism behavior of juvenile fish based on deep learning

H Wang, S Zhang, S Zhao, J Lu, Y Wang, D Li… - … and Electronics in …, 2022 - Elsevier
Special behavior detection of fish is an effective way to ensure fish welfare and improve the
intelligent level of aquaculture. However, due to the influence of the breeding environment …

Automatic detection of multi-type defects on potatoes using multispectral imaging combined with a deep learning model

Y Yang, Z Liu, M Huang, Q Zhu, X Zhao - Journal of Food Engineering, 2023 - Elsevier
Automatic detection of potato multi-type defects remains a challenge because of the
diversification in defect size and visual similarity among multi-type defects. In this study, an …

Deep residual convolutional neural network based on hybrid attention mechanism for ecological monitoring of marine fishery

J Liu, L Zhang, Y Li, H Liu - Ecological Informatics, 2023 - Elsevier
Understanding the ecological environment, population abundance, and growth status of
marine organisms in the marine fishery is important to promote its sustainability. However …