Scientific Research Publishing

Krizhevsky, A., Sutskever, I. and Hinton, G.E. (2012) ImageNet Classification with Deep Convolutional Neural Networks. Advances in Neural Information Processing Systems, 25 ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...
9to5Mac

Apple just dropped a research dataset to help train AI image editing models

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using Google’s Gemini-2.5 models. Here are the details. Apple’s research team has ...
IEEE

Constructing Balanced Training Samples: A New Perspective on Long-Tailed Classification

Abstract: The most significant characteristic of long-tailed classification is that severe sample imbalance causes the model to be biased towards the head category. While the long-tailed distribution ...
IEEE

Optimizing Hyperparameters in Meta-Learning for Enhanced Image Classification

Abstract: This paper investigates the significance of hyperparameter optimization in meta-learning for image classification tasks. Despite advancements in deep learning, real-time image classification ...
Frontiers

Sustainable deep vision systems for date fruit quality assessment using attention-enhanced deep learning models

Introduction: Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. Methods: In this study, we ...
Frontiers

KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification

Introduction: Integrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various ...
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 ...