摘要: We propose a new way to train structured output prediction model. More specifically, we nonlinear data terms in Gaussian Conditional Random Field (GCRF) by generalized version of gradient boosting. The approach is evaluated on three challenging regression benchmarks: vessel detection, single image depth estimation and inpainting. These experiments suggest that the proposed boosting framework matches or exceeds state-of-the-art.
sci-hub.se 参考文章(49)
J. Staal, M.D. Abramoff, M. Niemeijer, M.A. Viergever, B. van Ginneken, Ridge-based vessel segmentation in color images of the retina IEEE Transactions on Medical Imaging. ,vol. 23, pp. 501- 509 ,(2004) , 10.1109/TMI.2004.825627
Andrew Y. Ng, Ashutosh Saxena, Sung H. Chung, Learning Depth from Single Monocular Images neural information processing systems. ,vol. 18, pp. 1161- 1168 ,(2005)
Ce Liu, J. Yuen, A. Torralba, Nonparametric Scene Parsing via Label Transfer IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 33, pp. 2368- 2382 ,(2011) , 10.1109/TPAMI.2011.131
Christoph Sommer, Christoph Straehle, Ullrich Kothe, Fred A. Hamprecht, Ilastik: Interactive learning and segmentation toolkit 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. pp. 230- 233 ,(2011) , 10.1109/ISBI.2011.5872394
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. Dean, David M. Lyle, The Logistic Random Field — A convenient graphical model for learning parameters for MRF-based labeling computer vision and pattern recognition. pp. 1- 8 ,(2008) , 10.1109/CVPR.2008.4587669
Olaf Kahler, Ian Reid, Efficient 3D Scene Labeling Using Fields of Trees international conference on computer vision. pp. 3064- 3071 ,(2013) , 10.1109/ICCV.2013.380
Carlos Guestrin, Tianqi Chen, Ben Taskar, Sameer Singh, {Efficient Second-Order Gradient Boosting for Conditional Random Fields} international conference on artificial intelligence and statistics. pp. 147- 155 ,(2015)
Lin Gu, Li Cheng, Learning to Boost Filamentary Structure Segmentation 2015 IEEE International Conference on Computer Vision (ICCV). pp. 639- 647 ,(2015) , 10.1109/ICCV.2015.80
José Ignacio Orlando, Matthew Blaschko, Learning Fully-Connected CRFs for Blood Vessel Segmentation in Retinal Images medical image computing and computer-assisted intervention. ,vol. 17, pp. 634- 641 ,(2014) , 10.1007/978-3-319-10404-1_79
Charles Parker, Structured gradient boosting Structured gradient boosting. pp. 156- 156 ,(2007)