Mar 9, 2021 · The proposed cross-resolution face identification system consists of three main phases– preprocessing (image up-sampling), feature extraction, ...
It makes use of the Deep Convolutional Neural Network (DCNN) having different pooling operations to extract resolution robust features from high resolution, low ...
It makes use of the Deep Convolutional Neural Network (DCNN) having different pooling operations to extract resolution robust features from high resolution, low ...
A face identification system that makes use of the Deep Convolutional Neural Network (DCNN) having different pooling operations to extract resolution robust ...
Cross-resolution face identification using deep-convolutional neural ...
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Detailed Record ; Title: Cross-resolution face identification using deep-convolutional neural network. ; Language: English ; Authors: Rakshit, Rinku Datta1 (AUTHOR)
In the work proposed by Fu et al. [5] , a deep learning model based on guided CNN has been used for cross-resolution and occluded image recognition.
Convolutional Neural Networks have reached extremely high performances on the Face Recognition task. Largely used datasets, such as VGGFace2, ...
Missing: identification | Show results with:identification
In this paper, we proposed a training algorithm to empower a SotA DL model for FR to generate resolution-robust deep representations.
Sep 9, 2024 · Convolutional Neural Networks have reached extremely high performances on the Face Recognition task. Largely used datasets, such as VGGFace2 ...
It reports a new training procedure for cross-resolution robust deep neural network. Please note: We are researchers, not a software company, and have no ...