Nature

Crop-weed classification using deep learning: a comparative study of CNNs, vision transformers, and interpretable models

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

BS2T: Bottleneck Spatial–Spectral Transformer for Hyperspectral Image Classification

Abstract: Convolutional neural networks (CNNs) have been extensively applied to hyperspectral (HS) image classification tasks and achieved promising performance. However, for CNN-based HS image ...
IEEE

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional neural network (CNN) ...
GitHub

dimitrisdais/crack_detection_CNN_masonry

This GitHub Repository was produced to share material relevant to the Journal paper Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer ...
Nature

LightGastroFormer: a lightweight multi-resolution transformer for gastrointestinal disease classification

In order to promote early diagnosis and lessen the workload of doctors during endoscopic and capsule endoscopy tests, automated analysis of gastrointestinal (GI) images is essential. However, current ...