Enhancing Mask Transformer with Auxiliary Convolution Layers for Semantic Segmentation

Enhancing Mask Transformer with Auxiliary Convolution Layers for Semantic Segmentation

Transformer-based semantic segmentation methods have achieved excellent performance in recent years. Mask2Former is one of the well-known transformer-based methods which unifies common image segmentation into a universal model. However, it performs relatively poorly in obtaining local features and s...

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Bibliographic Details
Main Authors: Zhengyu Xia, Joohee Kim
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
deep learning
semantic segmentation
image segmentation
transformer
convolutional neural networks
Online Access:https://www.mdpi.com/1424-8220/23/2/581

Internet

https://www.mdpi.com/1424-8220/23/2/581

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