Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images
AbstractSemantic image segmentation has recently witnessed considerable progress by training deep convolutional neural networks (CNNs). The core issue of this technique is the limited capacity of CNNs to depict visual objects. Existing approaches tend to utilize approximate inference in a discrete domain or additional aides and do not have a global optimum guarantee. We propose the use of the multi-label manifold ranking (MR) method in solving the linear objective energy function in a continuous domain to delineate visual objects and solve these problems. We present a novel embedded single stream optimization method based on the MR model to avoid approximations without sacrificing expressive power. In addition, we propose a novel network, which we refer to as dual multi-scale manifold ranking (DMSMR) network, that combines the dilated, multi-scale strategies with the single stream MR optimization method in the deep learning architecture to further improve the performance. Experiments on high resolution images, including close-range and remote sensing datasets, demonstrate that the proposed approach can achieve competitive accuracy without additional aides in an end-to-end manner. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Zhang, M.; Hu, X.; Zhao, L.; Lv, Y.; Luo, M.; Pang, S. Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images. Remote Sens. 2017, 9, 500.
Zhang M, Hu X, Zhao L, Lv Y, Luo M, Pang S. Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images. Remote Sensing. 2017; 9(5):500.Chicago/Turabian Style
Zhang, Mi; Hu, Xiangyun; Zhao, Like; Lv, Ye; Luo, Min; Pang, Shiyan. 2017. "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images." Remote Sens. 9, no. 5: 500.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.