Abstract: Traffic Classification (TC) is experiencing a renewed interest, fostered by the growing popularity of Deep Learning (DL) approaches. In exchange for their proved effectiveness, DL models are ...

Abstract: This article intends to propose a technique for categorizing 3D deformable objects from unprocessed single-view images. The proposed technique is built on an autoencoder, which considers the ...

This project implements an unsupervised image classification pipeline using contrastive learning (SimCLR) and clustering on the STL-10 dataset. The implementation includes automatic checkpointing, ...