Sabari Nathan

Abstract Introduction: Underwater imaging plays an important role in monitoring aquatic ecosystems and aquaculture environments. Accurate estimation of fish pose and body length from underwater imagery is essential for analysing fish behaviour, growth patterns, and biomass dynamics. However, underwater scenes are often affected by turbidity, uneven illumination, occlusion, and suspended particles, which reduce the accuracy of keypoint detection and metric measurements.

4.5. Ablation Study In this section, we present ablation studies that demonstrate the effectiveness of our method and provide detailed analyses of the proposed modules. The key components of our model are the coordinate convolution layer and the Res2Net-Squeezed block. Our primary focus is on examining the impact of these two components on the performance of our proposed network.