GitHub

yanqianxuan/pytorch-image-classification-basics

Following papers are implemented using PyTorch. ResNeXt-29 8x64d 3.97 (1 run) 3.65 (average of 10 runs) 42h50m* ResNeXt-29 16x64d 3.58 (average of 10 runs) shake-shake-26 2x32d (S-S-I) 3.68 3.55 ...
IEEE

AI-Based Waste Classification Using Resnet50 and Pytorch: A Practical Approach for Real-World Deployment

Abstract: Managing solid waste efficiently has become an increasingly pressing concern as cities grow. Waste production intensifies this study and presents a deep learning-based waste classification ...
IEEE

Vocabulary-free Image Classification and Semantic Segmentation

Abstract: Large vision-language models revolutionized image classification and semantic segmentation paradigms. However, they typically assume a pre-defined set of categories, or vocabulary, at test ...
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 ...