S. Raghavendra

A comparative evaluation of deep learning architectures, loss functions, and ensemble strategies for underwater fish species classification

Abstract The accurate classification of underwater fish species is important for biodiver-sity monitoring, sustainable fisheries management, and aquaculture. However, underwater fish classification remains challenging due to class imbalance, varying imaging conditions, and high v...