Semantic segmentation network based on global and local multiscale feature fusion

Shuhui Lin

doi:10.1117/12.2673328

14 April 2023 Semantic segmentation network based on global and local multiscale feature fusion

Shuhui Lin

Proceedings Volume 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022); 126130P (2023) https://doi.org/10.1117/12.2673328
Event: International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 2022, Chongqing, China

Abstract

Semantic segmentation networks require huge computing resources, and the main reason is that they have too many feature fusions. In this paper, we propose a multi-scale feature fusion network with global and local fusion. The network is a lightweight network with strong competitiveness in speed and model size, and the segmentation accuracy is also improved to a certain extent.

Citation Download Citation

Shuhui Lin "Semantic segmentation network based on global and local multiscale feature fusion", Proc. SPIE 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 126130P (14 April 2023); https://doi.org/10.1117/12.2673328

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KEYWORDS

Semantics

Image segmentation

Feature fusion

Convolution

Education and training

Feature extraction

Image fusion

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