Textual context-aware dense captioning with diverse words

Shao, Z., Han, J., Debattista, K. et al. (1 more author) (2023) Textual context-aware dense captioning with diverse words. IEEE Transactions on Multimedia. ISSN 1520-9210



  • Shao, Z.
  • Han, J.
  • Debattista, K.
  • Pang, Y.
Copyright, Publisher and Additional Information: © 2023 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: Dense Captioning; Enhanced Transformer Dense Captioner; Textual Context Module; Dynamic Vocabulary Frequency Histogram
  • Accepted: 15 January 2023
  • Published (online): 2 February 2023
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: 02 Feb 2023 13:15
Last Modified: 23 Feb 2023 16:04
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/tmm.2023.3241517


Accepted Version

Embargoed until: 2 February 2024

Filename: TMM-JHan.pdf

Request a copy

file not available