Aqua Boundary-Saliency Attention Module for Lightweight Underwater Salient Instance Segmentation Detection Transformer
Researchers have developed a new lightweight detection transformer model called LUSIS-DETR for underwater instance segmentation. The model incorporates an Aqua Boundary-Saliency Attention Module (AquaBSAM) that embeds various underwater visual cues to improve mask prediction and instance discrimination. Benchmarking on an NVIDIA T4 GPU shows the model achieves real-time inference speeds, making it suitable for applications like marine exploration and ecological monitoring. AI
IMPACT Enables more efficient and real-time underwater perception for ecological monitoring and robotics.