Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention-Reference-Cited by-同舟云学术

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Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention

Published:2024-07 Issue:7 Volume:46 Page:4720-4735
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Chen Xianyu¹^ORCID,Yang Jinhui¹^ORCID,Chen Shi¹^ORCID,Wang Louis¹^ORCID,Jiang Ming¹^ORCID,Zhao Qi¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA

Funder

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/34/10550108/10412655-aam.pdf

Reference77 articles.

1. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

2. Microsoft COCO captions: Data collection and evaluation server;Chen,2015

3. Meshed-Memory Transformer for Image Captioning

4. Boosted Attention: Leveraging Human Attention for Image Captioning

5. Leveraging Human Attention in Novel Object Captioning

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