来自MSN

Padding In CNN — The Secret To Preserving Features

In this video, we will understand what is Padding in Convolutional Neural Network and why do we need padding in Convolutional Neural Network Convolution Operation faces two problems: 1.) The size of ...
Frontiers

High-efficiency sparse convolution operator for event-based cameras

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...
Scientific Research Publishing

A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention ...

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

depth-wise convolution layer in cmMamba block

It is mentioned in the paper - "A second branch embeds fj via depth-wise convolution and passes it through an SSM layer". I failed to understand the DWConv layer after I printed the model summary. For ...
Scientific Research Publishing

Classification with Convolutional Neural Networks in MapReduce ()

Deep learning (DL) techniques, more specifically Convolutional Neural Networks (CNNs), have become increasingly popular in advancing the field of data science and have had great successes in a wide ...
Frontiers

Dual-channel deep graph convolutional neural networks

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...
IEEE

Diffraction-Based Overlay Metrology With Optical Convolution Layer

Abstract: Overlay is a crucial indicator of manufacturing processing between layers. Currently, diffraction-based overlay (DBO) is widely adopted in overlay metrology. In response to existing ...