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 …
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
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 …
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
Complicated underwater environments bring new challenges to object detection, such as
unbalanced light conditions, low contrast, occlusion, and mimicry of aquatic organisms …
unbalanced light conditions, low contrast, occlusion, and mimicry of aquatic organisms …
Image enhancement guided object detection in visually degraded scenes
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 …
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
This article investigates the problem of enhancing underwater visual observations for the
purpose of accurate underwater object detection. Most existing underwater visual …
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 …
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 …
human eye struggles to quickly distinguish between aquatic species due to their variety and …
Graph-in-graph convolutional network for hyperspectral image classification
With the development of hyperspectral sensors, accessible hyperspectral images (HSIs) are
increasing, and pixel-oriented classification has attracted much attention. Recently, graph …
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
Despite advancements in underwater object detection (UOD) from optical underwater
images in recent years, the task still poses significant challenges due to the chaotic …
images in recent years, the task still poses significant challenges due to the chaotic …
A gated cross-domain collaborative network for underwater object detection
Underwater object detection (UOD) plays a significant role in aquaculture and marine
environmental protection. Considering the challenges posed by low contrast and low-light …
environmental protection. Considering the challenges posed by low contrast and low-light …