Distillation and testing of a transformer-based weakly-supervised segmentation framework with a real-time compact U-Net for mining imagery
Responsable: José Luis Blanco [jlblanco@gaps.ssr.upm.es] The size and distribution of ore particles on conveyor belts critically affect grinding processes in mining, influencing product quality, throughput, power consumption, and safety. Crushing and sieving are slow and have traditionally been controlled manually. Computer vision offers a real-time, non-invasive alternative via image segmentation to continuously assess and monitor the…
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