RAFNet: Reparameterizable Across-Resolution Fusion Network for Real-Time Image Semantic Segmentation

The demand to implement semantic segmentation networks on mobile devices has increased dramatically. However, existing real-time semantic segmentation methods still suffer from a large number of network parameters, unsuitable for mobile devices with limited memory resources. The reason mainly arises...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 34; H. 2; S. 1212 - 1227
Hauptverfasser:	Chen, Lei, Dai, Huhe, Zheng, Yuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Coders Computer networks Decoding Electronic devices encoder-decoder structure Feature extraction Feature maps hardware deployment Image segmentation lightweight network Memory devices Mobile handsets Parameterization Parameters Real time Real-time image segmentation Real-time systems Semantic segmentation Semantics Task analysis Training
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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