Progressive Hard-Mining Network for Monocular Depth Estimation

Depth estimation from the monocular RGB image is a challenging task for computer vision due to no reliable cues as the prior knowledge. Most existing monocular depth estimation works including various geometric or network learning methods lack of an effective mechanism to preserve the cross-border d...

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Veröffentlicht in:	IEEE transactions on image processing 2018-08, Vol.27 (8), p.3691-3702
Hauptverfasser:	Zhang, Zhenyu, Xu, Chunyan, Yang, Jian, Gao, Junbin, Cui, Zhen
Format:	Artikel
Sprache:	eng
Schlagworte:	Estimation hard-mining network Image edge detection Image segmentation intra-scale and inter-scale refining Monocular depth estimation Predictive models recursive learning Semantics Task analysis Three-dimensional displays
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