Therefore, a method for facial expression capture based on two-stage neural network is proposed in this paper which takes advantage of improved multi-task cascaded convolutional networks (MTCNN) and high-resolution network. Firstly, the convolution operation of traditional MTCNN is ...
Correcting Image Anomalies Using Deep Learning Based On Image Inpainting Prasanth P. Nair, Mohan S Lecturer in Computer Engineering, Government Polytechnic College, Neyyattinkara, Thiruvananthapuram, India Lecturer in Computer Engineering, Government Polytechnic College, Nedumangad, Thiruvananthapuram, Ind...
--detect_human_face: enable automatic human face detection and cropping using MTCNN. You need to install facenet-pytorch before using this option. This only works on human face images --gpu: enable GPU --render_video: render 3D animations using neural_renderer (GPU is required) To replicate ...
Our source code is developed based on the codebase of a great series of StyleGAN inversion researches from the Tel Aviv University group, which are: pSp, e4e, ReStyle and PTI. For auxiliary pre-trained models, we specifically thank to TreB1eN, MoCov2, CurricularFace and MTCNN. For editing ...
How to achieve efficient, convenient, safe and intelligent access control management is the main research direction in the field of smart home right now.Based on multi-task cascade convolutional neural network (MTCNN) and improved face recognition algorithm k-Nearest Neighbor (KNN), this paper ...
To validate the effectiveness of the designed MTCNN model, two mainstream classification networks, VGG16 and ResNetl8, were tested and compared with MTCNN by training on RAF-DB, masked dataset, and the classroom dataset constructed in this paper, and the final accuracy after training was 78.26%...
Research on intelligent classroom attendance management based on feature recognitionThe regular attendance method is affected by many factors in the classroom intelligent attendance, which leads to lower attendance efficiency. In order to improve the efficiency of intelligent classroom attendance management, ...
MTCNN has a certain improvement in speed and accuracy, but the network structure is complex and only detects five keypoints on the face. DAN, Deep Alignment Network [30], is also a method based on cascaded neural networks. It introduces a keypoint heat map, and each level of the network...
4.1.1. Detection Based on Spatial Artifacts To effectively use face landmark information, in Ref. [53], Liang et al. described a facial geometry prior module. The model harnesses facial maps and correlation within the frequency domain to study the distinguishing traits of altered and unmanipulated...
applied sciences Article Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD Yiting Li, Haisong Huang *, Qingsheng Xie, Liguo Yao and Qipeng Chen Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang 550025, China; tgl226537@163....