MResTNet: A Multi-Resolution Transformer Framework with CNN Extensions for Semantic Segmentation

MResTNet: A Multi-Resolution Transformer Framework with CNN Extensions for Semantic Segmentation

A fundamental task in computer vision is the process of differentiation and identification of different objects or entities in a visual scene using semantic segmentation methods. The advancement of transformer networks has surpassed traditional convolutional neural network (CNN) architectures in ter...

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Bibliographic Details
Main Authors: Nikolaos Detsikas, Nikolaos Mitianoudis, Ioannis Pratikakis
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Journal of Imaging
Subjects:
semantic segmentation
transformer networks
convolutional neural networks
deep learning
scene understanding
Online Access:https://www.mdpi.com/2313-433X/10/6/125

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https://www.mdpi.com/2313-433X/10/6/125

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