Abstract: Compton cameras serve as important tools for gamma-ray imaging. However, traditional 3D reconstruction methods employ stringent event selection criteria that utilize only approximately 0.05% ...
SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations
Abstract: Annotating 3D LiDAR point clouds for perception tasks is fundamental for many applications e.g. autonomous driving, yet it still remains notoriously labor-intensive. Pretraining-finetuning ...
GRAHAM COUNTY, N.C. (WLOS) — A local school system has opted for a remote learning day for Tuesday, Oct. 14, after a threatening note was found in a school restroom the day before. According to an Oct ...
Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively train a model, without sharing raw training data with each other. This "shared ...
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