This project implements a Deep Convolutional Denoising Autoencoder (DAE) for removing noise from high-resolution facial images. The model is trained using unsupervised learning on the CelebA ...
Abstract: In this article, we propose an anomaly detection model based on extended isolation forest (EIF) and denoising autoencoder (DA), which achieves unsupervised anomaly detection with good ...
基于深度学习的图像去噪应用,尝试了 CNN、AutoEncoder、U-Net 与 U-Net Residual 四种网络结构,并加入传统高斯滤波作为 baseline ...
Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
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