A bio-inspired model (SLVM) and a synthetically darkened dataset (Dark-traffic) achieve state-of-the-art low-light traffic detection, segmentation, and optical flow at low compute cost.
Optical flow in the dark[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
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A biologically inspired separable learning vision model for real-time traffic object perception in Dark
A bio-inspired model (SLVM) and a synthetically darkened dataset (Dark-traffic) achieve state-of-the-art low-light traffic detection, segmentation, and optical flow at low compute cost.