Learning Pixel-wise Labeling from the Internet without Human Interaction

Deep learning stands at the forefront in many computer vision tasks. However, deep neural networks are usually data-hungry and require a huge amount of well-annotated training samples. Collecting sufficient annotated data is very expensive in many applications, especially for pixel-level prediction...

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Veröffentlicht in:	arXiv.org 2018-05
Hauptverfasser:	Liu, Yun, Shi, Yujun, Bian, JiaWang, Zhang, Le, Ming-Ming, Cheng, Feng, Jiashi
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer vision Ground truth Image annotation Image segmentation Internet Machine learning Neural networks Pixels Semantic segmentation Semantics Training
Online-Zugang:	Volltext
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