In:
Electronics, MDPI AG, Vol. 10, No. 3 ( 2021-02-01), p. 329-
Kurzfassung:
Multi-scale representation plays a critical role in the field of edge detection. However, most of the existing research focuses on one of two aspects: fast training and accurate testing. In this paper, we propose a novel multi-scale method to resolve the balance between them. Specifically, according to multi-stream structures and the image pyramid principle, we construct a down-sampling pyramid network and a lightweight up-sampling pyramid network to enrich the multi-scale representation from the encoder and decoder, respectively. Next, these two pyramid networks and a backbone network constitute our overall architecture, a bi-directional pyramid network (BDP-Net). Extensive experiments show that compared with the state-of-the-art model, our method could improve the training speed by about one time while retaining a similar test accuracy. Especially, under the single-scale test, our approach also reaches human perception (F1 score of 0.803) on the BSDS500 database.
Materialart:
Online-Ressource
ISSN:
2079-9292
DOI:
10.3390/electronics10030329
Sprache:
Englisch
Verlag:
MDPI AG
Publikationsdatum:
2021
ZDB Id:
2662127-7
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