In this letter, a novel wavelet-inspired sparse learning network (WISLNet) is proposed for hyperspectral image change detection (HSI-CD), which introduces wavelet convolution (WTConv) transform into a ...

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 ...

Process shift of multimode process involving data distribution and dynamic relation makes traditional transfer learning methods be intractable and even result in negative transfer. To tackle this ...

It introduces a novel framework combining a sparse deformable marching cubes structure called Sparcubes with a modality-consistent autoencoder known as Sparconv-VAE. Sparcubes transforms raw mesh data ...