Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot-Reference-Cited by-同舟云学术

Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot

Published:2022-10 Issue:5 Volume:38 Page:3154-3172
ISSN:1552-3098
Container-title:IEEE Transactions on Robotics
language:
Short-container-title:IEEE Trans. Robot.

Author:

Ceola Federico¹^ORCID,Maiettini Elisa¹^ORCID,Pasquale Giulia¹^ORCID,Meanti Giacomo²^ORCID,Rosasco Lorenzo²^ORCID,Natale Lorenzo¹^ORCID

Affiliation:

1. Humanoid Sensing and Perception (HSP), Istituto Italiano di Tecnologia (IIT), Genoa, Italy

2. Laboratory for Computational and Statistical Learning (LCSL), Machine Learning Genoa Center (MaLGa), and the Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), University of Genova, Genoa, Italy

Funder

ERA-NET CHIST-ERA call 2017 Project HEAP

Center for Brains, Minds and Machines

NSF STC

European Research Council

Air Force Office of Scientific Research

European Office of Aerospace Research and Development

EU H2020-MSCA-RISE Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

https://ieeexplore.ieee.org/ielam/8860/9910236/9863699-aam.pdf

Reference56 articles.

1. Incremental robot learning of new objects with fixed update time

2. Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting

3. Learning Instance Segmentation by Interaction

4. ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors

5. Unseen Object Instance Segmentation for Robotic Environments

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