[IPOL announce] new article: A Brief Analysis of the Dense Extreme Inception Network for Edge Detection
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Mon Oct 10 13:10:16 CEST 2022
A new article is available in IPOL: https://www.ipol.im/pub/art/2022/423/
Rafael Grompone von Gioi, and Gregory Randall,
A Brief Analysis of the Dense Extreme Inception Network for Edge Detection,
Image Processing On Line, 12 (2022), pp. 389–403.
https://doi.org/10.5201/ipol.2022.423
Abstract
This work describes DexiNed, a Dense Extreme Inception Network for Edge
Detection proposed by Xavier Soria, Edgar Riba and Angel Sappa in [IEEE
Winter Conference on Applications of Computer Vision (WACV), 2020]. The
network is organized in blocks that extract edges at different
resolutions, which are then merged to produce a multiscale edge map. For
training, the authors introduced an annotated dataset (BIPED)
specifically designed for edge detection. We perform a brief analysis of
the results produced by DexiNed, highlighting its quality but also
indicating its limitations. Overall, DexiNed produces state-of-the-art
results.
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