IEEE

Optimizing ResNet-50 for Multiclass Classification: A Multi-Stage Learning Approach

Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...
Communications of the ACM

Where Are the City Trees? Monitoring Urban Trees across the U.S. Using Generative AI

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...
IEEE

CNNGP: Multi-tree Genetic Programming Integrating Pre-trained CNN Features for Fine-Grained Image Classification

Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.