Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

• Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 3194 - 3203
• Main Authors: Lin, Guosheng, Shen, Chunhua, van den Hengel, Anton, Reid, Ian
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2016
• Subjects: Context; Context modeling; Image segmentation; Neural networks; Semantics; Training; Visualization

Recent advances in semantic image segmentation have mostly been achieved by training deep convolutional neural networks (CNNs). We show how to improve semantic segmentation through the use of contextual information, specifically, we explore 'patch-patch' context between image regions, and...