In this project, we address the inherent difficulties of underwater visual detection by exploiting deep visual object detection models.
Figure 1: Schematic diagrams of the deep visual models used for diver detection
In addition, we design a CNN-based diver detection model to balance the trade-offs between robustness and efficiency.
Figure 2: Schematic diagrams of the proposed CNN-based model
The proposed model provides considerably faster running time, in addition to achieving detection performances comparable to the state-of-the-art models. For further details and results, please follow this link.