Global ETD Search
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Showing 1 to 2 of 2 for “"3D Semantic Segmentation"”.
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Self-Supervised Learning Method for Semantic Segmentation of LiDAR Point Clouds
Semantic segmentation has shown a significant success for achieving comprehensive scene understanding in real-time perception and urban modeling. Over the recent years, there have been significant advancements in semantic segmentation for LiDAR point clouds, largely the adopting of deep learning …
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BRIDGING INTERPRETABILITY AND PERFORMANCE IN 3D DEEP LEARNING THROUGH GEOMETRIC INDUCTIVE BIASES
… limitazioni fondamentali nel deep learning 3D, in particolare per applicazioni critiche di sicurezza come l’ispezione delle reti elettriche. Nonostante i progressi significativi nel campo del 3D scene understanding, la maggior parte dei modelli allo stato dell’arte funziona come black boxes, …