Abstract: Hyperspectral image classification demands models capable of efficiently capturing complex spectral–spatial relationships and long-range dependencies. Despite significant advances in CNNs ...
This project provides a concise PyTorch training example using the CIFAR-100 image classification task, designed to help beginners quickly get started. It also offers some flexible adjustment and ...
This repository is the official PyTorch implementation of QCFace: Image Quality Control for boosting Face Representation & Recognition. QCFace achieves state-of-the-art performance in both ...
Abstract: Long-tailed image classification faces challenges of data imbalance and poor feature representation for tail classes, leading to biased predictions favoring head classes. While most existing ...
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