OverSegNet: A convolutional encoder–decoder network for image over-segmentation

Efficient and differentiable image over-segmentation is key to superpixel-based research and applications but remains a challenging problem. The paper proposes a fully convolutional deep network, named OverSegNet, for image over-segmentation. OverSegNet consists of an encoder and a decoder, which ar...

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Veröffentlicht in:	Computers & electrical engineering Jg. 107; S. 108610
Hauptverfasser:	Li, Peng, Ma, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2023
Schlagworte:	Encoder–decoder architecture Image over-segmentation NAS encoder Non-iterative deep clustering Superpixel segmentation Non-iterative deep clustering Image over-segmentation Encoder–decoder architecture Superpixel segmentation NAS encoder
ISSN:	0045-7906, 1879-0755
Online-Zugang:	Volltext
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