According to Securities Star news, data from the Tianyancha APP shows that Hikvision (002415) has recently obtained an ...

Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

CNNs vs. transformers; selecting a package; IoT education; managing design data; containerized workloads for automotive; ...

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

Hi @bilalsal @NarineK @sarahtranfb @vivekmig @aobo-y, First of all, thank you for the amazing work on Captum! I'm currently exploring the capabilities of Captum for analyzing a convolutional neural ...

It can be tough trying to find a haircut that maintains length, adds movement and overall looks universally flattering—at least when you have a distinct face shape (where are my round-faced peeps at?) ...

Introduction: Transformer models have demonstrated remarkable performance in financial time series forecasting. However, they suffer from inefficiencies in computational efficiency, high operational ...

Abstract: This paper addresses the challenge of out-ofdistribution (OOD) learning in computer vision by introducing a novel Dynamic Attention Layer (DAL), designed to enhance Convolutional Neural ...

Abstract: This paper presents a lightweight Convolutional Neural Network (CNN) model for face recognition. The network structure has three convolutional layers, three pooling layers, one flattening ...