LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection

As of today, the best accuracy in line segment detection (LSD) is achieved by algorithms based on convolutional neural networks - CNNs. Unfortunately, these methods utilize deep, heavy networks and are slower than traditional model-based detectors. In this paper we build an accurate yet fast CNN- ba...

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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Teplyakov, Lev, Erlygin, Leonid, Shvets, Evgeny
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 10.09.2022
Schlagworte:	Accuracy Algorithms Annotations Artificial neural networks Detectors Lightweight Segments Sensors
ISSN:	2331-8422
Online-Zugang:	Volltext
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