Intelligence technologies play an important role in increasing product quality and production
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …

Object counting in aquaculture is an important task, and has been widely applied in fish
population estimation, estimation of lobster abundance and scallop stocks, and so forth …

Underwater image processing has been shown to exhibit significant potential for exploring
underwater environments. It has been applied to a wide variety of fields, such as underwater …

Underwater target detection plays an important role in ocean exploration, to which the
improvement of relevant technology is of much practical significance. Although existing …

Over the last few years, several research works have been performed to monitor fish in the
underwater environment aimed for marine research, understanding ocean geography, and …

Remote sensing targets have different dimensions, and they have the characteristics of
dense distribution and a complex background. This makes remote sensing target detection …

Fish species recognition is crucial to identifying the abundance of fish species in a specific
area, controlling production management, and monitoring the ecosystem, especially …

Identifying and counting fish individuals on photos and videos is a crucial task to cost-
effectively monitor marine biodiversity, yet it remains difficult and time-consuming. In this …

Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

Marine cabled video-observatories allow the non-destructive sampling of species at
frequencies and durations that have never been attained before. Nevertheless, the lack of …