Top-down framework for weakly-supervised grounded image captioning-Reference-Cited by-同舟云学术

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Top-down framework for weakly-supervised grounded image captioning

Published:2024-03 Issue: Volume:287 Page:111433
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Cai Chen^ORCID,Wang Suchen^ORCID,Yap Kim-Hui^ORCID,Wang Yi^ORCID

Publisher

Elsevier BV

Reference63 articles.

1. Meshed-memory transformer for image captioning;Cornia,2020

2. The unreasonable effectiveness of CLIP features for image captioning: an experimental analysis;Barraco,2022

3. ClipCap: CLIP prefix for image captioning;Mokady,2021

4. Show, attend and tell: Neural image caption generation with visual attention;Xu,2015

5. Reasoning like humans: On dynamic attention prior in image captioning;Wang;Knowl.-Based Syst.,2021

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2. A rich RGBD images captioning for scene understanding;Signal, Image and Video Processing;2024-08-14

3. Towards Attribute-Controlled Fashion Image Captioning;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-06-05

4. Attribute guided fusion network for obtaining fine-grained image captions;Multimedia Tools and Applications;2024-05-27

5. Multi-scale Attentive Fusion Network for Remote Sensing Image Change Captioning;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

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