This paper aims to identify individual lobsters based on the patterns on their exoskeleton. Convolutional neural network architectures have been identified as ...
Visual fingerprinting for lobsters using deep learning. October 2019. DOI ... with deep learning and using both face identification and verification signals as ...
The deep learning ability of this model allows the carapace areas to be segmented from lobster images automatically for calculating grading attributes including ...
Missing: Visual fingerprinting
In approaching Southern Rock Lobster (SRL), this paper proposes an image-based identification solution for individuals using Convolutional Neural Networks (CNNs) ...
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This paper describes a collaboration between marine and computer scientists to improve fisheries data collection. We evaluate deep learning (DL)-based ...
The deep learning ability of this model allows the carapace areas to be segmented from lobster images automatically for calculating grading attributes including ...
Vision-based AUV docking to an underway dock using convolutional neural networks ... Visual fingerprinting for lobsters using deep learning. ML Seto, P Singh ...
Visual fingerprinting for lobsters using deep learning. SMC 2019: 3325-3330 ... So please proceed with care and consider checking the Crossref privacy policy and ...
Jul 1, 2020 · In this article, we propose to automate the process of lobster detection using a deep learning technique. ... Fingerprint. Dive into the ...