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

J Li, W Xu, L Deng, Y **ao, 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 …

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 …

Boosting R-CNN: Reweighting R-CNN samples by RPN's error for underwater object detection

P Song, P Li, L Dai, T Wang, Z Chen - Neurocomputing, 2023 - Elsevier
Complicated underwater environments bring new challenges to object detection, such as
unbalanced light conditions, low contrast, occlusion, and mimicry of aquatic organisms …

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 …

A reinforcement learning paradigm of configuring visual enhancement for object detection in underwater scenes

H Wang, S Sun, X Bai, J Wang… - IEEE Journal of Oceanic …, 2023 - ieeexplore.ieee.org
This article investigates the problem of enhancing underwater visual observations for the
purpose of accurate underwater object detection. Most existing underwater visual …

Underwater object detection using TC-YOLO with attention mechanisms

K Liu, L Peng, S Tang - Sensors, 2023 - mdpi.com
Underwater object detection is a key technology in the development of intelligent
underwater vehicles. Object detection faces unique challenges in underwater applications …

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 …

Graph-in-graph convolutional network for hyperspectral image classification

S Jia, S Jiang, S Zhang, M Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of hyperspectral sensors, accessible hyperspectral images (HSIs) are
increasing, and pixel-oriented classification has attracted much attention. Recently, graph …

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 …

A gated cross-domain collaborative network for underwater object detection

L Dai, H Liu, P Song, M Liu - Pattern Recognition, 2024 - Elsevier
Underwater object detection (UOD) plays a significant role in aquaculture and marine
environmental protection. Considering the challenges posed by low contrast and low-light …