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Le et al., 2020 - Google Patents

REDN: a recursive encoder-decoder network for edge detection

Le et al., 2020

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Document ID
5139157175901217213
Author
Le T
Duan Y
Publication year
Publication venue
IEEE Access

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Snippet

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 …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

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    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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