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Living in a Material World: Learning Material Properties from Full-Waveform Flash Lidar Data for Semantic Segmentation
The shape of the return waveform is affected by many factors, including the distance that the light pulse travels and the angle of incidence with a surface.
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data
Reducing the quantity of annotations required for supervised training is vital when labels are scarce and costly.
Self-Supervised Pre-training of 3D Point Cloud Networks with Image Data
Reducing the quantity of annotations required for supervised training is vital when labels are scarce and costly.
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