Scientific Research Publishing

A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention Mechanism for Image Classification ()

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...
Frontiers

A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei

Recent advances in deep learning have improved the segmentation accuracy of subcortical brain structures, which would be useful in neuroimaging studies of many neurological disorders. However, most ...
IEEE

NSE-CATNet: Deep Neural Speech Enhancement Using Convolutional Attention Transformer Network

Abstract: Speech enhancement (SE) is a critical aspect of various speech-processing applications. Recent research in this field focuses on identifying effective ways to capture the long-term ...
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
IEEE

Multi-Attention Bottleneck for Gated Convolutional Encoder-Decoder-Based Speech Enhancement

Abstract: Convolutional encoder-decoder (CED) has emerged as a powerful architecture, particularly in speech enhancement (SE), which aims to improve the intelligibility and quality and intelligibility ...
GitHub

Zahratabatabaei/Convolutional-Auto-Encoder

Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach; WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval; Self-supervised learning of a tailored ...
GitHub

[CVPR2024] Fully convolutional slice-to-volume reconstruction for single-stack MRI

This is the official repo for the CVPR 2024 paper "Fully Convolutional Slice-to-Volume Reconstruction (FC-SVR) for Single-Stack MRI" by Sean I Young, Yaël Balbastre ...