[HTML][HTML] Image mining applications for underwater environment management-A review and research agenda
The underwater environment is gaining importance due to its role in enhancing the economy
of the world and improving relationships between different countries across the world. There …
of the world and improving relationships between different countries across the world. There …
Traffic management: Multi-scale vehicle detection in varying weather conditions using yolov4 and spatial pyramid pooling network
Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …
IA-Net An Inception–Attention-Module-Based Network for Classifying Underwater Images From Others
M Yang, H Wang, K Hu, G Yin… - IEEE Journal of Oceanic …, 2022 - ieeexplore.ieee.org
To distinguish underwater images from natural images is one of the challenge of collecting
and generation of underwater image data. Common image classification and recognition …
and generation of underwater image data. Common image classification and recognition …
A new deep learning engine for coralnet
CoralNet is a cloud-based website and platform for manual, semi-automatic and automatic
analysis of coral reef images. Users access CoralNet through optimized web-based …
analysis of coral reef images. Users access CoralNet through optimized web-based …
Deep learning for plankton and coral classification
In this paper, we present a study about an automated system for monitoring underwater
ecosystems. The system here proposed is based on the fusion of different deep learning …
ecosystems. The system here proposed is based on the fusion of different deep learning …
Underwater object detection based on improved efficientdet
J Jia, M Fu, X Liu, B Zheng - Remote Sensing, 2022 - mdpi.com
Intelligent detection of marine organism plays an important part in the marine economy, and
it is significant to detect marine organisms quickly and accurately in a complex marine …
it is significant to detect marine organisms quickly and accurately in a complex marine …
Dual-model: Revised imaging network and visual perception correction for underwater image enhancement
Considering the limitation of a single physics-based or deep learning-based method, this
paper proposes an effective Dual-model methodology for underwater image enhancement …
paper proposes an effective Dual-model methodology for underwater image enhancement …
An improved YOLO algorithm for fast and accurate underwater object detection
S Zhao, J Zheng, S Sun, L Zhang - Symmetry, 2022 - mdpi.com
Due to the abundant natural resources of the underwater world, autonomous exploration
using underwater robots has become an effective technological tool in recent years. Real …
using underwater robots has become an effective technological tool in recent years. Real …
Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks
BM Hopkinson, AC King, DP Owen… - PloS one, 2020 - journals.plos.org
Coral reefs are biologically diverse and structurally complex ecosystems, which have been
severally affected by human actions. Consequently, there is a need for rapid ecological …
severally affected by human actions. Consequently, there is a need for rapid ecological …
Automatic hierarchical classification of kelps using deep residual features
Across the globe, remote image data is rapidly being collected for the assessment of benthic
communities from shallow to extremely deep waters on continental slopes to the abyssal …
communities from shallow to extremely deep waters on continental slopes to the abyssal …