A Novel Stereo Matching Network for Underwater Scenes

With the rapid development and widespread application of stereo matching, significant progress has been achieved for ground scenes. However, traditional stereo matching methods designed for ground-based environments often perform poorly in underwater settings due to the unique optical properties and physical characteristics of the underwater environment. In this paper, we propose a novel stereo matching network tailored specifically for underwater scenes. Experimental results validate the effectiveness of our model in addressing the challenges posed by underwater environments.