snousias / mesh-saliency-detection-using-convolutional-neural-networksView external linksLinks
Mesh saliency has been widely considered as the measure of visual importance of certain parts of 3D geometries, distinguishable from their surroundings, with respect to human visual perception. This work is based on the use of convolutional neural networks to extract saliency maps for large and dense 3D scanned models. The network is trained wit…
☆18Jun 19, 2020Updated 5 years ago
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