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SemiContour: A Semi-supervised Learning Approach for Contour Detection

Supervised contour detection methods usually require many labeled training images to obtain satisfactory performance. However, a large set of annotated data might be unavailable or extremely labor intensive. In this paper, we investigate the usage of semi-supervised learning (SSL) to obtain competit...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit
मुख्य लेखकों: Zhang, Zizhao, Xing, Fuyong, Shi, Xiaoshuang, Yang, Lin
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2016
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC5423734/
https://ncbi.nlm.nih.gov/pubmed/28496297
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2016.34
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