IEEE

Dual-Branch Attention Convolution Spectral–Spatial Feature Extraction Networks for Hyperspectral Image Classification

Abstract: The attention-based dual-branch network demonstrates significant potential in hyperspectral image (HSI) classification. However, the existing dual-branch approaches still face two crucial ...
IEEE

MSSCFormer: Multigranularity Spatial–Spectral Convolution Transformer Network for Hyperspectral Image Classification

Abstract: Recently, convolutional neural networks (CNNs) and Transformers have achieved considerable success in hyperspectral image (HSI) classification tasks. However, existing methods not only lack ...
Network World

What are TPUs? Your guide to tensor processing units and AI acceleration

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...
Bowdoin College

Mingi Kang ’26: Advancing Computers' Ability to See and Understand Our World

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...