REDN: A Recursive Encoder-Decoder Network for Edge Detection

In this paper, we introduce REDN: A Recursive Encoder-Decoder Network with Skip-Connections for edge detection in natural images. The proposed network is a novel integration of a Recursive Neural Network with an Encoder-Decoder architecture. The recursive network enables iterative refinement of the...

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Bibliographic Details
Published in:	IEEE access Vol. 8; pp. 90153 - 90164
Main Authors:	Le, Truc, Duan, Ye
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Coders Convolution Datasets Decoding deep learning Detectors Edge detection encoder-decoder network Encoders-Decoders Fuses Image edge detection Iterative methods Machine learning Neural networks recursive network Task analysis
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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