Visual and semantic knowledge transfer for large scale semi-supervised object detection

Tang, Y., Wang, J.K. orcid.org/0000-0003-0048-3893, Wang, X. et al. (4 more authors) (2017) Visual and semantic knowledge transfer for large scale semi-supervised object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. ISSN 0162-8828

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Object detection; convolutional neural networks; semi-supervised learning; transfer learning; visual similarity; semantic similarity; weakly supervised object detection
Dates:
  • Accepted: 3 November 2017
  • Published (online): 9 November 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K019082/1
Depositing User: Symplectic Sheffield
Date Deposited: 10 Nov 2017 12:39
Last Modified: 10 Nov 2017 12:41
Published Version: https://doi.org/10.1109/TPAMI.2017.2771779
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TPAMI.2017.2771779

Share / Export

Statistics