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Semantic web-mining and deep vision for lifelong object discovery

Abstract:

Autonomous robots that are to assist humans in their daily lives must recognize and understand the meaning of objects in their environment. However, the open nature of the world means robots must be able to learn and extend their knowledge about previously unknown objects on-line. In this work we investigate the problem of unknown object hypotheses generation, and employ a semantic Web-mining framework along with deep-learning-based object detectors. This allows us to make use of both visual ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/ICRA.2017.7989323

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Pembroke College
Role:
Author
ORCID:
0000-0002-7556-6098
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Grant:
Seventh Framework Programme (FP7/2007-2013) under grant agreement No 600623, STRANDS, and under the ALOOF project (CHISTERA program)
Publisher:
IEEE Publisher's website
Pages:
2774-2779
Publication date:
2017-07-24
Acceptance date:
2017-01-15
DOI:
Pubs id:
pubs:821115
URN:
uri:e366f854-c67a-443b-bf07-1a8e5b7d1fcb
UUID:
uuid:e366f854-c67a-443b-bf07-1a8e5b7d1fcb
Local pid:
pubs:821115
ISBN:
978-1-5090-4633-1

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