Original paper

Contextual ensemble network for semantic segmentation

Volume: 122, Pages: 108290 - 108290
Published: Feb 1, 2022
Recently, exploring features from different layers in fully convolutional networks (FCNs) has gained substantial attention to capture context information for semantic segmentation. This paper presents a novel encoder-decoder architecture, called contextual ensemble network (CENet), for semantic segmentation, where the contextual cues are aggregated via densely usampling the convolutional features of deep layer to the shallow deconvolutional...
Paper Details
Contextual ensemble network for semantic segmentation
Published Date
Feb 1, 2022
108290 - 108290
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