To tackle the challenging image tampering detection problem, this article presents an attentional cross-domain deep architecture, which can be trained end-to-end. This architecture is composed of ...

Abstract: This work evaluates neutron-induced soft errors in an image classification all-convolutional neural ... shown that the HLS architecture presents better reliability than the CNN running on ...

Production-ready deep learning pipeline for handwritten digit recognition using PyTorch CNNs with 98%+ accuracy, featuring flexible training, real-time inference, and comprehensive evaluation tools.