Segmentation and Shape Estimation of Multiple Deformed Cloths Using a CNN-Based Landmark Detector and Clustering
Author:
Affiliation:
1. Wakayama University,Faculty of Systems Engineering,Wakayama,JAPAN
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811551.pdf?arnumber=9811551
Reference24 articles.
1. Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making
2. Cloth Region Segmentation for Robust Grasp Selection
3. Learning to Manipulate Deformable Objects without Demonstrations
4. Fashion Landmark Detection and Category Classification for Robotics
5. Single-shot clothing category recognition in free-configurations with application to autonomous clothes sorting
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