Nvidia has announced its new image-editing model for RTX AI PCs. FLUX.1 Kontext is now available as an Nvidia NIM microservice. The model is powered by Nvidia RTX and TensorRT. Specifically, it’s the ...

We report a semi-supervised Vision Transformer (ViT) framework for automated reflection high energy electron diffraction (RHEED) image classification of ferroelectric nitride (ScAlN) materials grown ...

Introduction: Accurate environmental image classification is essential for ecological monitoring, climate analysis, disaster detection, and sustainable resource management. However, traditional ...

About Comparing CNN, VGG16, ResNet34, ResNet50, and InceptionV3 models for satellite image classification.

ResNet34 is one of the important models for image classification, and research has found that ResNet34 has problems such as information loss, low accuracy, and training difficulties. This paper ...

ImageNet is a large-scale visual database that contains millions of annotated images, and the CNN models trained on this database are the cornerstone for significantly improving medical image ...

This notebook explores and compares various Explainable AI (XAI) techniques—LIME, Anchors, and SHAP—to explain the predictions made by a pre-trained ResNet34 model for image classification.

The results highlight the importance of incorporating cross entropy alongside traditional metrics for a more comprehensive evaluation of deep learning models in medical image classification, providing ...