DCMSTRD: End-to-end dense captioning via multi-scale transformer decoding

Shao, Z., Han, J., Debattista, K. et al. (1 more author) (2024) DCMSTRD: End-to-end dense captioning via multi-scale transformer decoding. IEEE Transactions on Multimedia, 26. pp. 7581-7593. ISSN 1520-9210

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Shao, Z.
  • Han, J.
  • Debattista, K.
  • Pang, Y.
Copyright, Publisher and Additional Information:

© 2024 The Author(s). Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Multimedia is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Dense Captioning; Artificially Designed Modules; End-to-end Dense Captioning framework via Multi-Scale Transformer Decoding (DCMSTRD); Multi-Scale Language Decoder (MSLD)
Dates:
  • Published: 26 February 2024
  • Published (online): 26 February 2024
  • Accepted: 7 February 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 16 Feb 2024 14:42
Last Modified: 08 Nov 2024 13:04
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/TMM.2024.3369863
Open Archives Initiative ID (OAI ID):

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