The model in the first group uses only CT, PTV masks, and OAR masks as inputs, referred to as CascU-Net-B (Basic Cascaded U-Net). Models in groups b-e use CT, PTV mask, OARs mask, and dose masks as ...

Since various pests have irregular and changeable shapes, small sizes, and complex backgrounds, field rice pest detection is an essential prerequisite and challenge for the precise control of pests in ...

A new AI model can mask a personal image without destroying its quality, which will help to protect your privacy.

This project demonstrates a face mask detection system using Convolutional Neural Networks (CNNs) to classify whether a person is wearing a mask or not. The system is designed to enhance safety and ...

A face-mask object detection model incorporating hybrid dilation convolutional network termed ResNet Hybrid-dilation-convolution Face-mask-detector (RHF) is proposed in this paper.

Face mask detector we used CNN model.The model is divided into two parts: feature learning and classification. feature learning: Convolution+Relu, pooling, Convolution+Relu, pooling; classification: ...

As a new machine learning method, deep learning has been widely used in computer vision. YOLOv5, a target detection algorithm based on deep learning, has a good detection effect. In the case of ...