[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey
Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …
integral role in providing a valuable food source and conservation outcomes. Due to their …
[HTML][HTML] A survey on fish classification techniques
MK Alsmadi, I Almarashdeh - Journal of King Saud University-Computer …, 2022 - Elsevier
Fish classification (FC) is an expansively studied problem in the domains of image
segmentation, pattern recognition, and information retrieval. It has been applied in a …
segmentation, pattern recognition, and information retrieval. It has been applied in a …
Computer vision and deep learning for fish classification in underwater habitats: A survey
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …
in their natural habitats. This helps them get a step closer towards understanding and …
Class-aware fish species recognition using deep learning for an imbalanced dataset
Fish species recognition is crucial to identifying the abundance of fish species in a specific
area, controlling production management, and monitoring the ecosystem, especially …
area, controlling production management, and monitoring the ecosystem, especially …
Visual features based automated identification of fish species using deep convolutional neural networks
Morphological based fish species identification is an erroneous and time-consuming
process. There are numerous fish species and due to their close resemblance with each …
process. There are numerous fish species and due to their close resemblance with each …
A large-scale dataset for fish segmentation and classification
Assessing the quality of seafood both in retail and during packaging at the production side
must be carried out minutely in order to avoid spoilage which causes severe human health …
must be carried out minutely in order to avoid spoilage which causes severe human health …
Improving transfer learning and squeeze-and-excitation networks for small-scale fine-grained fish image classification
Scientific studies on species composition and abundance distribution of fishes have
considerable importance to the fishery industry, biodiversity protection, and marine …
considerable importance to the fishery industry, biodiversity protection, and marine …
[PDF][PDF] Fish survival prediction in an aquatic environment using random forest model
In the real world, it is very difficult for fish farmers to select the perfect fish species for
aquaculture in a specific aquatic environment. The main goal of this research is to build a …
aquaculture in a specific aquatic environment. The main goal of this research is to build a …
Large-scale underwater fish recognition via deep adversarial learning
Z Zhang, X Du, L Jin, S Wang, L Wang, X Liu - Knowledge and Information …, 2022 - Springer
Fish species recognition from images captured in underwater environments plays an
essential role in many natural science studies, such as fish stock assessment, marine …
essential role in many natural science studies, such as fish stock assessment, marine …
Multi-classification deep neural networks for identification of fish species using camera captured images
Regular monitoring of the number of various fish species in a variety of habitats is essential
for marine conservation efforts and marine biology research. To address the shortcomings of …
for marine conservation efforts and marine biology research. To address the shortcomings of …