… In conclusion, although the existing aquatic animal research mainly relies on traditional …
and detection for aquatic animals (including not only marine animals, but also animals bred in …

… In this section, we provide a detailed explanation of deep learning methods commonly
used for aquatic animal detection and classification, including convolutional neural networks (…

… of deep learning to advance aqua-culture in future research. To the best of our knowledge,
we are one of the first groups to review deep learning … the health of aquatic animals. To data …

… field of aquatic ecology. To test its efficacy and utility, we compared the accuracy and speed
of deep learning … We show that deep learning can be a more accurate tool than humans at …

… To this end, we employ deep learning, with a density-based … the few other deep learning
models implemented for solving … deep learning template for crowd counting aquatic animals …

… We use deep learning methods to identify aquatic animals. … distribution of the fitting aquatic
animal data set image is obtained… comparison Detection and classification of aquatic animals. …

… sizes, as it provides the exact image area occupied by the animal. Various deep learning
models have been applied successfully for free-swimming animals, such as cod and jellyfish, …

… deep neural network based classifiers. This paper systematically describes the use of deep
learning … detection, and the features and deep learning architectures used are highlighted. It …

… This study uses the existing basic aquatic animal images as the … The deep learning method
adopted in this article does not … aquatic animal image classification methods based on deep …

… Aquatic ecology has experienced the early stages of the same shift, where object detection
… individual marine animals, a comparison between pictures of the same animal should have a …