LGR-NET: Language Guided Reasoning Network for Referring Expression Comprehension-Reference-Cited by-同舟云学术

LGR-NET: Language Guided Reasoning Network for Referring Expression Comprehension

Published:2024-08 Issue:8 Volume:34 Page:7771-7784
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Lu Mingcong¹,Li Ruifan²^ORCID,Feng Fangxiang²,Ma Zhanyu¹^ORCID,Wang Xiaojie²^ORCID

Affiliation:

1. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

2. School of Artificial Intelligence, the Engineering Research Center of Information Networks, Ministry of Education, the Key Laboratory of Interactive Technology and Experience System, Ministry of Culture and Tourism, Beijing University of Posts and Telecommunications, Beijing, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Youth Innovative Research Team of Beijing University of Posts and Telecommunications

High-Performance Computing Platform of BUPT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10634006/10463072.pdf?arnumber=10463072

Reference82 articles.

1. Show and tell: A neural image caption generator

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

3. GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features

4. Coherent Visual Storytelling via Parallel Top-Down Visual and Topic Attention

5. VQA: Visual Question Answering

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