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 ...
marktechpost

Revolutionizing Image Classification: Training Large Convolutional Neural Networks on the ImageNet Dataset

Training a Large CNN for Image Classification: Researchers developed a large CNN to classify 1.2 million high-resolution images from the ImageNet LSVRC-2010 contest, spanning 1,000 categories. 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: Breast cancer is a deadly disease and radiologists recommend mammography to detect it at the early stages. This paper presents two types of HanmanNets using the information set concept for ...
GitHub

Loss Function and Reproducing ImageNet Classification Results

I have a question regarding the loss function used in the classification task described in your paper. In the paper, it is mentioned that "the only supervision is classification loss for a fair ...
IEEE

ImageNet Classification Using WordNet Hierarchy

Impact Statement: Image classification using the conventional cross-entropy loss is a common approach in the field of computer vision. Although with the available resources it has been able to achieve ...
marktechpost

In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation (Paper Summary)

The out-of-distribution (OOD) detection in deep learning models, particularly in image classification, addresses the challenge of identifying inputs unrelated to the model’s training task. It aims to ...
Sports Illustrated

Arkansas Activities Association releases 2024-26 classification numbers

The Arkansas Activities Association released the latest classification numbers for the 2024-26 cycle on Thursday in football, 8-Man football, other sports and non-public schools. Additional details ...
Scientific Research Publishing

Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2012) Imagenet Classification with Deep Convolutional Neural Networks. Communications of the ACM, 60, 84-90.

ABSTRACT: Gastric cancer remains the third most common cause of cancer-related death. Histopathological examination of gastric cancer is the gold standard for the diagnosis of gastric cancer. However, ...