Neuron interpretation offers valuable insights into how knowledge is structured within a deep neural network model.

The pre-trained point cloud model based on Masked Point Modeling (MPM) has exhibited substantial improvements across various tasks.

In many scientific applications, we observe a system in different conditions in which its components may change, rather than in isolation.

While there has been much attention on the theoretical aspect of the traditional i.i.d.