AI RESEARCH
LEMMA: Laplacian pyramids for Efficient Marine SeMAntic Segmentation
arXiv CS.CV
•
ArXi:2603.25689v1 Announce Type: new Semantic segmentation in marine environments is crucial for the autonomous navigation of unmanned surface vessels (USVs) and coastal Earth Observation events such as oil spills. However, existing methods, often relying on deep CNNs and transformer-based architectures, face challenges in deployment due to their high computational costs and resource-intensive nature. These limitations hinder the practicality of real-time, low-cost applications in real-world marine settings.