User: Guest  Login
Document type:
Konferenzbeitrag 
Author(s):
Bui, M.; Zakharov, S.; Albarqouni, S.; Ilic, S.; Navab, N. 
Title:
When Regression meets Manifold Learning for Object Recognition and Pose Estimation 
Abstract:
In this work, we propose a method for object recognition and pose estimation using convolutional neural networks for robust feature descriptor learning from depth images. Compared to the previous methods solving this problem, which use nearest neighbor search on an estimated descriptor space, we create an efficient multi-task learning framework with direct pose regression. By combining the strengths of manifold learning using triplet loss and regression, we take a step in estimating the pose dir...    »
 
Keywords:
ICRA,Pose,Manifold,deeplearning 
Year:
2018