Abstract The Segment Anything Model (SAM) is a foundation model for general image
segmentation. Although it exhibits impressive performance predominantly on natural …

The most significant grou**s of cold‐blooded creatures are the fish family. It is crucial to
recognize and categorize the most significant species of fish since various species of …

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 …

In this paper, we present CaveSeg-the first visual learning pipeline for semantic
segmentation and scene parsing for AUV navigation inside underwater caves. We address …

Machine learning techniques enable systems to learn Important representations from input
Image data. Convolutional neural networks (CNNs) are a specific implementation of …

Shape learning, or the ability to leverage shape information, could be a desirable property of
convolutional neural networks (CNNs) when target objects have specific shapes. While …

In recent years, the field of emerging computer vision systems has witnessed significant
advancements in automated disease diagnosis through the utilization of vision-oriented …

Fishes are integral to both ecological systems and economic sectors, and studying fish traits
is crucial for understanding biodiversity patterns and macro-evolution trends. To enable the …

Underwater fish image processing is one of the key technologies to realize intelligent
aquaculture. However, due to the complexity of marine environments, underwater fish …

Fish assessment and monitoring are important for the development of a modern aquatic
ecosystem. Fish are a vital part of the marine and freshwater environments. Morphological …