Zero-TextCap: Zero-shot Framework for Text-based Image Captioning

Author:

Xu Dongsheng1ORCID,Zhao Wenye1ORCID,Cai Yi2ORCID,Huang Qingbao3ORCID

Affiliation:

1. Guangxi University, Nanning, China

2. South China University of Technology & MOE of China, Guangzhou, China

3. Guangxi University & Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning, China

Funder

Fundamental Research Funds for the Central Universities, SCUT

CAAI-Huawei MindSpore Open Fund and the Science and Technology Planning Project of Guangdong Province

Guangxi Natural Science Foundation Key Project

Guangxi Natural Science Foundation

Open Research Fund of Guangxi Key Laboratory of Multimedia Communications and Network Technology

Open Research Fund of Key Laboratory of Big Data and Intelligent Robot (SCUT), Ministry of Education

CCF-Zhipu AI Large Model Fund

National Natural Science Foundation of China

Guangxi Scientific and Technological Bases and Talents Special Projects

Publisher

ACM

Reference42 articles.

1. Peter Anderson , Basura Fernando , Mark Johnson , and Stephen Gould . 2016 . Spice: Semantic propositional image caption evaluation. In Computer Vision--ECCV 2016: 14th European Conference , Amsterdam, The Netherlands , October 11-14, 2016, Proceedings, Part V 14. Springer , 382--398. Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould. 2016. Spice: Semantic propositional image caption evaluation. In Computer Vision--ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V 14. Springer, 382--398.

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

3. Satanjeev Banerjee and Alon Lavie . 2005 . METEOR: An automatic metric for MT evaluation with improved correlation with human judgments . In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization. 65--72 . Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization. 65--72.

4. Rosetta

5. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.

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