Are metrics measuring what they should? An evaluation of Image Captioning task metrics-Reference-Cited by-同舟云学术

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Are metrics measuring what they should? An evaluation of Image Captioning task metrics

Published:2024-01 Issue: Volume:120 Page:117071
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

González-Chávez Othón,Ruiz Guillermo^ORCID,Moctezuma Daniela,Ramirez-delReal Tania

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference75 articles.

1. Vinvl: Making visual representations matter in vision-language models;Zhang,2021

2. Scaling up vision-language pre-training for image captioning;Hu,2021

3. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy,2021

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

5. Bleu: a method for automatic evaluation of machine translation;Papineni,2002

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Insights into Object Semantics: Leveraging Transformer Networks for Advanced Image Captioning;Sensors;2024-03-11

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