The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …

Computer vision has been applied to fish recognition for at least three decades. With the
inception of deep learning techniques in the early 2010s, the use of digital images grew …

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 …

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 …

Fish behavior has attracted increasing attention in global aquaculture because it provides
important information about productivity and fish quality. The use of images to detect fish …

In animal husbandry, the traceability of individual cattle, their health information, and
performance records greatly depend on computer vision and image processing-based …

Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …

Recognising handwritten digits or characters is a challenging task due to noisy data that
results from different writing styles. Numerous applications essentially motivate to build an …

In recent years, marine animal study has gained increasing research attention, which raises
significant demands for fine-grained marine animal segmentation (MAS) techniques. In …

Fish classification is an essential requirement for biomass estimation, disease identification,
and quality analysis. In aquaculture industries, fish classification is carried out in the …