AMS-M2ESL Framework The software environment is Ubuntu 18.04.5 LTS 64 bit. This project is running on a single Nvidia GeForce RTX 3090 GPU based on Cuda 11.0. We adopt Python 3.8.5, PyTorch 1.10.0+cu111. The py+torch combination may not be limited by our adopted one. ...
To overcome these mentioned issues, an adaptive mask sampling and manifold to Euclidean subspace learning (AMS-M2ESL) framework is proposed for HSIC. Specifically, an adaptive mask based intra-patch sampling (AMIPS) module is firstly formulated for intra-patch sampling in an adaptive mask manner ...