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View all- Pu MHuang YGuan QZou QBoll SMu Lee KLuo JZhu WByun HWen Chen CLienhart RMei T(2018)GraphNetProceedings of the 26th ACM international conference on Multimedia10.1145/3240508.3240542(483-491)Online publication date: 15-Oct-2018
Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation
Authors: 
Peng Ying, Jin Liu, Hanqing Lu, Songde MaAuthors Info & Claims
Peng Ying, Jin Liu, Hanqing Lu, Songde MaAuthors Info & ClaimsPages 1251 - 1254
Abstract
How to import image-level labels as weak supervision to direct the region-level labeling task is the core task of weakly-supervised semantic segmentation. In this paper, we focus on designing an effective but simple weakly-supervised constraint, and propose an exclusive constrained discriminative learning model for image semantic segmentation. To be specific, we employ a discriminative linear regression model to assign subsets of superpixels with different labels. During the assignment, we construct an exclusive weakly-supervised constraint term to suppress the labeling responses of each superpixel on the labels outside its parent image-level label set. Besides, a spectral smoothing term is integrated to encourage that both visually and semantically similar superpixels have similar labels. Combining these terms, we formulate the problem as a convex objective function, which can be easily optimized via alternative iterations. Extensive experiments on MSRC-21 and LabelMe datasets demonstrate the effectiveness of the proposed model.
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Index Terms
- Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation
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Information
Published In
October 2015
1402 pages
ISBN:9781450334594
DOI:10.1145/2733373
- General Chairs:
- Xiaofang Zhou,
- Alan F. Smeaton,
- Qi Tian,
- Program Chairs:
- Dick C.A. Bulterman,
- Heng Tao Shen,
- Ketan Mayer-Patel,
- Shuicheng Yan
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Published: 13 October 2015
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- National Natural Science Foundation of China
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MM '15 Paper Acceptance Rate 56 of 252 submissions, 22%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%
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View all- Pu MHuang YGuan QZou QBoll SMu Lee KLuo JZhu WByun HWen Chen CLienhart RMei T(2018)GraphNetProceedings of the 26th ACM international conference on Multimedia10.1145/3240508.3240542(483-491)Online publication date: 15-Oct-2018
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