TY - GEN
T1 - Learning shape priors for object segmentation via neural networks
AU - Safar, Simon
AU - Yang, Ming Hsuan
N1 - Publisher Copyright:
© 2015 IEEE.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2015/12/9
Y1 - 2015/12/9
N2 - We present a joint algorithm for object segmentation that integrates both global shape and local edge information in a deep learning framework. The proposed architecture uses convolutional layers to extract image features, followed by a fully connected section to represent shapes specific to a given object class. This preliminary mask is further refined by matching segmentation mask patches to local features. These processing steps facilitate learning the shape priors effectively with a feedforward pass rather than complex inference methods. Furthermore, our novel convolutional refinement stage presents a convincing alternative to Conditional Random Fields, with promising results on multiple datasets.
AB - We present a joint algorithm for object segmentation that integrates both global shape and local edge information in a deep learning framework. The proposed architecture uses convolutional layers to extract image features, followed by a fully connected section to represent shapes specific to a given object class. This preliminary mask is further refined by matching segmentation mask patches to local features. These processing steps facilitate learning the shape priors effectively with a feedforward pass rather than complex inference methods. Furthermore, our novel convolutional refinement stage presents a convincing alternative to Conditional Random Fields, with promising results on multiple datasets.
UR - http://www.scopus.com/inward/record.url?scp=84956688903&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84956688903&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2015.7351118
DO - 10.1109/ICIP.2015.7351118
M3 - Conference contribution
AN - SCOPUS:84956688903
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1835
EP - 1839
BT - 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PB - IEEE Computer Society
T2 - IEEE International Conference on Image Processing, ICIP 2015
Y2 - 27 September 2015 through 30 September 2015
ER -