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Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts

  • Published:2017-12-01 Issue:12 Volume:39 Page:2321-2334
  • ISSN:0162-8828
  • Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
  • language:
  • Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Fu KunORCID,Jin Junqi,Cui Runpeng,Sha Fei,Zhang Changshui

Funder

Intelligence Advanced Research Projects Activity (IARPA)

Department of Defense

U.S. Army Research Laboratory

IARPA

DoD

ARL

ARO

ONR

US National Science Foundation

Alfred P. Sloan Research

973 Program

NSFC

German Research Foundation (DFG)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

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1. Region-guided transformer for remote sensing image captioning;International Journal of Digital Earth;2024-09-11

2. A Systematic Survey of Automatic Image Description Generation Systems;International Journal of Image and Graphics;2024-06-18

3. Visual Insight: Deep Multilayer Fusion with Inception-Based LSTM for Descriptive Image Captioning;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

4. Unbinding tensor product representations for image captioning with semantic alignment and complementation;Multimedia Systems;2024-04-08

5. Image captioning: Semantic selection unit with stacked residual attention;Image and Vision Computing;2024-04
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