Capsule network has shown excellent performance in many fields, but there is not much exploration of capsule network in face detection and recognition. For traditional CNN on face detection identification problem such as characteristic information lost and too dependent on sample, a capsule network ...
CNNALIGNMENTWith the application of deep convolutional neural networks, the performance of computer vision tasks has been improved to a new level. The construction of a deeper and more complex network allows the face recognition algorithm to obtain a higher accuracy, However, the disadvantages of ...
content typepaper|research areaComputer Vision,research areaMethods and Algorithms|conferenceNeurIPSPublished year2025 AuthorsAndrew Szot, Bogdan Mazoure, Harsh Agrawal, Devon Hjelm, Zsolt Kira, Alexander Toshev Wearable Accelerometer Foundation Models for Health via Knowledge Distillation ...
The main problem with face recognition technology is that the recognition rate is significantly reduced depending on the environmental factors such as brightness, illumination angle, and image rotation. Therefore, in this paper, we propose a robust face recognition against lighting variation using CNN ...
The Research of Face Expression Recognition based on CNN using Tensorflow Deep learning has been developing rapidly in the field of image process and has achieved very good results in the field of image recognition. Before the rise of deep learning, the SVM(Support Vector Machine) algorithm was ...
et al. Research on EEG emotion recognition based on CNN+BiLSTM+self-attention model. Optoelectron. Lett. 19, 506–512 (2023). https://doi.org/10.1007/s11801-023-2207-x Download citation Received05 December 2022 Revised13 January 2023 Published22 August 2023 Issue DateAugust 2023 DOIhttps:/...
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mixed precision training(trains faster with less GPU memory onNVIDIA tensor cores) extensible: easily register new models, criterions, tasks, optimizers and learning rate schedulers flexible configurationbased onHydraallowing a combination of code, command-line and file based configuration ...
Application Research on Optimization Algorithm of sEMG Gesture Recognition Based on Light CNN+LSTM Model The deep learning gesture recognition based on surface electromyography plays an increasingly important role in human-computer interaction.In order to ensu... D Bai,T Liu,X Han,... - 类生命系...
In particle filter, observation is based on features. This section will mainly describe the human face features, which are utilized in tracking human face of interest by combining color feature and edge feature. 3.1. Color Feature Description Color histograms [25] have been widely applied because ...