A self-supervised spiking neural network framework estimates optical flow from asynchronous underwater event streams without labeled data, achieving competitive accuracy with high computational efficiency.
SU-YOLO: spiking neural network for efficient underwater object detection
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Aquatic Neuromorphic Optical Flow
A self-supervised spiking neural network framework estimates optical flow from asynchronous underwater event streams without labeled data, achieving competitive accuracy with high computational efficiency.