GitHub

ESC: Emulating Self-attention with Convolution for Efficient Image Super-Resolution

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...
IEEE

Hypergraph Convolutional Network With Multiple Hyperedges Fusion for Hyperspectral Image Classification Under Limited Samples

Abstract: Graph convolutional network (GCN) combined with convolutional neural network (CNN) exhibits significant potential in hyperspectral image (HSI) classification. Hypergraph convolutional ...
IEEE

Hyperspectral Image Classification Using Groupwise Separable Convolutional Vision Transformer Network

Abstract: Recently, vision transformer (ViT)-based deep learning (DL) models have achieved remarkable performance gains in hyperspectral image classification (HSIC) due to their abilities to model ...