Möller T, Nilssen I, Nattkemper TW. Active learning for the classification of species in underwater images from a fixed observatory. In: Proceedings of The IEEE International Conference on Computer Vision Workships (ICCVW). Piscataway, NJ: IEEE; 2017: 2891-2897
This chapter presents a summary of the use of deep learning for underwater image analysis, in partic...
The Automated and Integrated Seafloor Classification Workflow (AI-SCW) is a semi-automated underwate...
Logistical and financial limitations of underwater operations are inherent in marine science, includ...
With the complex structure of planktonic species and an immense amount of data captured from autonom...
International audienceNowadays, underwater video systems are largely used by marine ecologists to st...
Member, IEEE Active learning, which has a strong impact on processing data prior to the classificati...
Abstract We discuss the problem in which an autonomous vehicle must classify an object based on mult...
The thesis is a practical application of image analysis and classification methods, inspired by the ...
International audienceQuantitative imaging instruments produce a large number of images of plankton ...
In the field of image processing, due to the need of expertise and skills in deep-sea biology and th...
Underwater images and manual tags of different fish taxa detected from the image repository of the O...
© 2017 Elsevier Inc. All rights reserved. This chapter presents a summary of the use of deep learnin...
PURPOSE: This project aims to identify marine life and other objects that exist in aquatic environme...
The Monterey Bay Aquarium Research Institute routinely deploys remotely operated underwater vehicles...
© International Council for the Exploration of the Sea 2017. All rights reserved. There is a need fo...
This chapter presents a summary of the use of deep learning for underwater image analysis, in partic...
The Automated and Integrated Seafloor Classification Workflow (AI-SCW) is a semi-automated underwate...
Logistical and financial limitations of underwater operations are inherent in marine science, includ...
With the complex structure of planktonic species and an immense amount of data captured from autonom...
International audienceNowadays, underwater video systems are largely used by marine ecologists to st...
Member, IEEE Active learning, which has a strong impact on processing data prior to the classificati...
Abstract We discuss the problem in which an autonomous vehicle must classify an object based on mult...
The thesis is a practical application of image analysis and classification methods, inspired by the ...
International audienceQuantitative imaging instruments produce a large number of images of plankton ...
In the field of image processing, due to the need of expertise and skills in deep-sea biology and th...
Underwater images and manual tags of different fish taxa detected from the image repository of the O...
© 2017 Elsevier Inc. All rights reserved. This chapter presents a summary of the use of deep learnin...
PURPOSE: This project aims to identify marine life and other objects that exist in aquatic environme...
The Monterey Bay Aquarium Research Institute routinely deploys remotely operated underwater vehicles...
© International Council for the Exploration of the Sea 2017. All rights reserved. There is a need fo...
This chapter presents a summary of the use of deep learning for underwater image analysis, in partic...
The Automated and Integrated Seafloor Classification Workflow (AI-SCW) is a semi-automated underwate...
Logistical and financial limitations of underwater operations are inherent in marine science, includ...