Research challenges, recent advances, and popular datasets in deep learning-based underwater marine object detection: A review

MJ Er, J Chen, Y Zhang, W Gao - Sensors, 2023 - mdpi.com
Underwater marine object detection, as one of the most fundamental techniques in the
community of marine science and engineering, has been shown to exhibit tremendous …

Image enhancement guided object detection in visually degraded scenes

H Liu, F **, H Zeng, H Pu, B Fan - IEEE transactions on neural …, 2023 - ieeexplore.ieee.org
Object detection accuracy degrades seriously in visually degraded scenes. A natural
solution is to first enhance the degraded image and then perform object detection. However …

Lightweight target detection for the field flat jujube based on improved YOLOv5

S Li, S Zhang, J Xue, H Sun - Computers and Electronics in Agriculture, 2022 - Elsevier
The efficient detection of the flat jujube in a complex natural environment has great
significance in intelligent agricultural operations. Aiming at the problems of the low detection …

Underwater small target detection under YOLOv8-LA model

S Qu, C Cui, J Duan, Y Lu, Z Pang - Scientific Reports, 2024 - nature.com
In the realm of marine environmental engineering, the swift and accurate detection of
underwater targets is of considerable significance. Recently, methods based on …

YOLO and Faster R-CNN object detection for smart Industry 4.0 and Industry 5.0: applications, challenges, and opportunities

N Rane - Available at SSRN 4624206, 2023 - papers.ssrn.com
The rise of Industry 4.0 and the emerging paradigm of Industry 5.0 have driven
unprecedented technological progress in various fields. Central to this transformation are …

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 …

An improved apple object detection method based on lightweight YOLOv4 in complex backgrounds

C Zhang, F Kang, Y Wang - Remote Sensing, 2022 - mdpi.com
Convolutional neural networks have recently experienced successful development in the
field of computer vision. In precision agriculture, apple picking robots use computer vision …

U-YOLOv7: a network for underwater organism detection

G Yu, R Cai, J Su, M Hou, R Deng - Ecological Informatics, 2023 - Elsevier
Detecting and monitoring underwater organisms is very important for sea aquaculture. The
human eye struggles to quickly distinguish between aquatic species due to their variety and …

FBDPN: CNN-Transformer hybrid feature boosting and differential pyramid network for underwater object detection

X Ji, S Chen, LY Hao, J Zhou, L Chen - Expert Systems with Applications, 2024 - Elsevier
Despite advancements in underwater object detection (UOD) from optical underwater
images in recent years, the task still poses significant challenges due to the chaotic …

Underwater-YCC: underwater target detection optimization algorithm based on YOLOv7

X Chen, M Yuan, Q Yang, H Yao, H Wang - Journal of Marine Science …, 2023 - mdpi.com
Underwater target detection using optical images is a challenging yet promising area that
has witnessed significant progress. However, fuzzy distortions and irregular light absorption …