However, due to the lack of labeled data and the high dimension of fMRI volume images, DL suffers from overfitting in both supervised and unsupervised training processes. In this work, we proposed a ...

Object detection tasks widely use the Scale Invariant Feature Transform (SIFT). SIFT key-points are extracted from model images of an object and are used to form descriptors. To achieve an object's ...

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...