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Automatic image annotation based on deep learning models: a systematic review and future challenges
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 …
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
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 …
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
The conventional process of building Ontologies and Knowledge Graphs (KGs) heavily
relies on human domain experts to define entities and relationship types, establish …
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
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 …
difficulty for machine learning algorithms, due to the three following challenges embedded in …
Marine animal segmentation
In recent years, marine animal study has gained increasing research attention, which raises
significant demands for fine-grained marine animal segmentation (MAS) techniques. In …
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 …
severally affected by human actions. Consequently, there is a need for rapid ecological …
Sustainable marine ecosystems: Deep learning for water quality assessment and forecasting
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 …
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 …
which multiple solutions have been increasingly provided in the past two decades. Oceans …
Underwater robotic technology for imaging mesophotic coral ecosystems
The development of advanced acoustic and optical imaging techniques along with
autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) has …
autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) has …
[HTML][HTML] 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 …