The integration of artificial intelligence (AI) and the internet of things (IoT), known as artificial
intelligence of things (AIoT), is driving significant advancements in the aquaculture industry …

Underwater fish segmentation technology serves as a crucial foundation for extracting
aquatic biological information. However, due to intricate and fluctuating underwater …

In the realm of ocean exploration, underwater image segmentation endeavors to enrich our
understanding of underwater resources. This developing domain within image segmentation …

Benthic fishes are a common target of scientific monitoring but are difficult to quantify
because of their close association to bottom habitats that are hard to access. Advances in …

Underwater image compression is fundamental in underwater visual applications. The
storage resources of autonomous underwater vehicles (AUVs) and underwater cameras are …

As the performance of computing devices such as graphics processing units (GPUs) has
improved dramatically, many deep neural network models, especially convolutional neural …

In response to the time-consuming and laborious problem of manually drawing elements in
existing poster designs, this paper proposes a method for extracting the contours of Dongba …

Fish body measurement is essential for monitoring fish farming and evaluating growth. Non-
destructive underwater measurements play a significant role in aquaculture management …

Image semantic segmentation is widely used in aquatic product measurement, aquatic
biological cell segmentation, and aquatic biological classifications. However, underwater …

Numerous methods have been proposed for semantic segmentation and the state-of-the-art
part is likely to be incorporated by deep learning-based methods which show a salient …