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of 5
pro vyhledávání: '"Raine, Scarlett"'
Autor:
Raine, Scarlett, Marchant, Ross, Kusy, Brano, Maire, Frederic, Suenderhauf, Niko, Fischer, Tobias
Broad-scale marine surveys performed by underwater vehicles significantly increase the availability of coral reef imagery, however it is costly and time-consuming for domain experts to label images. Point label propagation is an approach used to leve
Externí odkaz:
http://arxiv.org/abs/2404.09406
Publikováno v:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Seagrass meadows serve as critical carbon sinks, but estimating the amount of carbon they store requires knowledge of the seagrass species present. Underwater and surface vehicles equipped with machine learning algorithms can help to accurately estim
Externí odkaz:
http://arxiv.org/abs/2303.00973
Publikováno v:
IEEE Robotics and Automation Letters 2022, vol. 7, no. 3, pp. 8291-8298
Monitoring coral reefs using underwater vehicles increases the range of marine surveys and availability of historical ecological data by collecting significant quantities of images. Analysis of this imagery can be automated using a model trained to p
Externí odkaz:
http://arxiv.org/abs/2202.13487
Autor:
Raine, Scarlett, Marchant, Ross, Moghadam, Peyman, Maire, Frederic, Kettle, Brett, Kusy, Brano
We introduce a dataset of seagrass images collected by a biologist snorkelling in Moreton Bay, Queensland, Australia, as described in our publication: arXiv:2009.09924. The images are labelled at the image-level by collecting images of the same morph
Externí odkaz:
http://arxiv.org/abs/2103.05226
Autor:
Raine, Scarlett, Marchant, Ross, Moghadam, Peyman, Maire, Frederic, Kettle, Brett, Kusy, Brano
Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images. Manual review of these images to extract ecological data is prohibitive in terms of time and cost, thus providing stro
Externí odkaz:
http://arxiv.org/abs/2009.09924