Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network

Semantic segmentation is a critical task in computer vision. Constructing complex semantic segmentation models with high accuracy, low spatial occupancy, and low computational complexity remains a challenge. To address this, this paper proposes a semantic segmentation network based on a hybrid archi...

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Veröffentlicht in:	Machine learning: science and technology Jg. 6; H. 2; S. 25039 - 25056
Hauptverfasser:	Li, Yane, Chen, Zhichao, Qi, Hongxia, Fan, Ming, Li, Lihua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 30.06.2025
Schlagworte:	Accuracy Artificial neural networks Complexity Computer vision Computing costs convolutional neural network DeepLabV3 Neural networks Semantic segmentation Semantics shuffle window transformer Strip
ISSN:	2632-2153, 2632-2153
Online-Zugang:	Volltext
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