Automatic image annotation based on deep learning models: a systematic review and future challenges

MM Adnan, MSM Rahim, A Rehman, Z Mehmood… - IEEe …, 2021 - ieeexplore.ieee.org
Recently, much attention has been given to image annotation due to the massive increase in
image data volume. One of the image retrieval methods which guarantees the retrieval of …

A survey on underwater coral image segmentation based on deep learning

M Li, H Zhang, A Gruen, D Li - Geo-spatial Information Science, 2024 - Taylor & Francis
Image-based coral reef survey technologies have revolutionized the monitoring of coral
reefs by offering a cost-effective and noninvasive method for collecting data across large …

From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

VK Kommineni, B König-Ries, S Samuel - arxiv preprint arxiv:2403.08345, 2024 - arxiv.org
The conventional process of building Ontologies and Knowledge Graphs (KGs) heavily
relies on human domain experts to define entities and relationship types, establish …

Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation

A Gómez-Ríos, S Tabik, J Luengo… - Expert Systems with …, 2019 - Elsevier
The recognition of coral species based on underwater texture images poses a significant
difficulty for machine learning algorithms, due to the three following challenges embedded in …

Marine animal segmentation

L Li, B Dong, E Rigall, T Zhou, J Dong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, marine animal study has gained increasing research attention, which raises
significant demands for fine-grained marine animal segmentation (MAS) techniques. In …

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 …

Sustainable marine ecosystems: Deep learning for water quality assessment and forecasting

ÁF Gambín, E Angelats, JS González, M Miozzo… - IEEE …, 2021 - ieeexplore.ieee.org
An appropriate management of the available resources within oceans and coastal regions is
vital to guarantee their sustainable development and preservation, where water quality is a …

Deep learning based deep-sea automatic image enhancement and animal species classification

V Lopez-Vazquez, JM Lopez-Guede… - Journal of Big Data, 2023 - Springer
The automatic classification of marine species based on images is a challenging task for
which multiple solutions have been increasingly provided in the past two decades. Oceans …

Underwater robotic technology for imaging mesophotic coral ecosystems

RA Armstrong, O Pizarro, C Roman - Mesophotic coral ecosystems, 2019 - Springer
The development of advanced acoustic and optical imaging techniques along with
autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) has …

[HTML][HTML] Automatic hierarchical classification of kelps using deep residual features

A Mahmood, AG Ospina, M Bennamoun, S An, F Sohel… - Sensors, 2020 - mdpi.com
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 …