Original paper
Contextual ensemble network for semantic segmentation
Abstract
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
Title
Contextual ensemble network for semantic segmentation
Published Date
Feb 1, 2022
Journal
Volume
122
Pages
108290 - 108290
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