TY - GEN
T1 - Learning shared body plans
AU - Endres, Ian
AU - Srikumar, Vivek
AU - Chang, Ming Wei
AU - Hoiem, Derek
PY - 2012
Y1 - 2012
N2 - We cast the problem of recognizing related categories as a unified learning and structured prediction problem with shared body plans. When provided with detailed annotations of objects and their parts, these body plans model objects in terms of shared parts and layouts, simultaneously capturing a variety of categories in varied poses. We can use these body plans to jointly train many detectors in a shared framework with structured learning, leading to significant gains for each supervised task. Using our model, we can provide detailed predictions of objects and their parts for both familiar and unfamiliar categories.
AB - We cast the problem of recognizing related categories as a unified learning and structured prediction problem with shared body plans. When provided with detailed annotations of objects and their parts, these body plans model objects in terms of shared parts and layouts, simultaneously capturing a variety of categories in varied poses. We can use these body plans to jointly train many detectors in a shared framework with structured learning, leading to significant gains for each supervised task. Using our model, we can provide detailed predictions of objects and their parts for both familiar and unfamiliar categories.
UR - http://www.scopus.com/inward/record.url?scp=84866714109&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866714109&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2012.6248046
DO - 10.1109/CVPR.2012.6248046
M3 - Conference contribution
AN - SCOPUS:84866714109
SN - 9781467312264
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 3130
EP - 3137
BT - 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
T2 - 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012
Y2 - 16 June 2012 through 21 June 2012
ER -