A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
We evaluate the proposed method on three benchmark datasets for skeleton detection and two for symmetry detection, achieving consistently superior performance over state-of-the-art methods. ... Computing object skeletons in natural images is challenging, owing to large variations in object appearance and scale, and the complexity of handling background clutter. ... Furthermore, DeepFlux goes beyond object skeleton detection, and achieves state-of-the-art results in detecting generic symmetry in the wild. ...arXiv:1811.12608v1 fatcat:pahjsjqtfbhzbmaawn4yd3ktxq