کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6938228 | 1449923 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Saliency detection via bi-directional propagation
ترجمه فارسی عنوان
تشخیص حساسیت از طریق انتشار دوطبقه
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کلمات کلیدی
تشخیص سلامت، دو طرفه انتشار
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Recent saliency models rely on propagation to compute the saliency map. Previous propagation methods are single directional, where foreground propagation and background propagation are separate (e.g., only foreground propagation, or background propagation after foreground propagation). Different from the previous approaches, we propose a bi-directional propagation model (BIP) for saliency detection. The BIP model propagates from the labeled foreground superpixels and the labeled background superpixels to the unlabeled ones in the same iteration. A difficulty-based rule is adopted to manipulate the prorogation sequence, which considers both the distinctness of the superpixel to its neighboring ones and its connectivity to the labeled sets. The BIP model outperforms fourteen state-of-the-art saliency models on four challenging datasets, and largely enhances the propagation efficiency compared to single directional propagation models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 53, May 2018, Pages 113-121
Journal: Journal of Visual Communication and Image Representation - Volume 53, May 2018, Pages 113-121
نویسندگان
Yingyue Xu, Xiaopeng Hong, Xin Liu, Guoying Zhao,