Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification

Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification

In recent years, computer vision has witnessed remarkable advancements in image classification, specifically in the domains of fully convolutional neural networks (FCNs) and self-attention mechanisms. Nevertheless, both approaches exhibit certain limitations. FCNs tend to prioritize local informatio...

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Bibliographic Details
Main Authors: Jiahang Lyu, Rongxin Zou, Qin Wan, Wang Xi, Qinglin Yang, Sarath Kodagoda, Shifeng Wang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
image classification
computer vision
self-attention mechanism
CNN
Online Access:https://www.mdpi.com/1424-8220/24/7/2055

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https://www.mdpi.com/1424-8220/24/7/2055

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