GitHub

PyTorch CNN Architecture Experimentation on Mini-ImageNet with Model Interpretability

This project presents a comprehensive deep learning study focused on Convolutional Neural Network (CNN) architecture experimentation and model interpretability using the Mini-ImageNet dataset. The ...
Fierce Healthcare

How Imagenet balances AI and human judgment in payer operations

Healthcare payers face mounting pressure to lower costs, manage complex claims and meet regulatory requirements without compromising service quality. In this video interview, Imagenet CEO Greg Carnes ...
Sports Illustrated

WVSSAC Reveals New 2025-27 Sports Classifications with Major Shifts Across West Virginia

From new four-class systems in several sports to sweeping football realignment, WVSSAC changes will reshape high school competition for the next two years This transition was approved by the Board of ...
GitHub

Question about training efficientvit classification model on imagenet-22k dataset

Thanks for your great work! I plan to train efficientvit classification model on imagenet-22k dataset for a better backbone initialization for open vocabulary object detection. I know that the ...
Scientific Research Publishing

Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2012) ImageNet Classification with Deep Convolutional Neural Networks. In: Advances in Neural Information Processing Systems ...

ABSTRACT: The research article studies the impact of data augmentation, particularly 60˚ rotation, on the performance of a ResNet convolutional neural network (CNN) for brain tumor detection using MRI ...
Scientific Research Publishing

Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2017) Imagenet Classification with Deep Convolutional Neural Networks. Communications of the ACM, 60, 84-90.

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
IEEE

Comprehensive Evaluation of ImageNet-Trained CNNs for Texture-Based Rock Classification

Abstract: Texture perception plays a vital role in various fields, from computer vision to geology, influencing object recognition, image segmentation, and rock classification. Despite advances in ...