Abstract: Anomaly inspection aims at identifying various defects in real time on modern industrial production lines. However, due to insufficient anomaly data, existing detectors cannot effectively ...
Abstract: Low-light image augmentation is crucial in many applications where visibility is regularly impeded by suboptimal lighting, such as autonomous driving, surveillance, and medical imaging.
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
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