A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation-Reference-Cited by-同舟云学术

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A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Robotics and Computer Vision (ICRCV)
language:
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Author:

Khan Rashid¹,Huang Bingding²,Hassan Haseeb³,Zaman Asim³,Ye Zhongfu⁴

Affiliation:

1. University of Science and Technology of China,Hefei

2. College of Big Data and Internet SZTU Shenzhen,China

3. College of Health Sciences and Environmental Engineering SZTU Shenzhen,China

4. University of Science and Technology of China,Department of Electronic Engineering and Information Science,hefei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10328968/10328955/10328995.pdf?arnumber=10328995

Reference42 articles.

1. Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory

2. CIDEr: Consensus-based image description evaluation

3. Deep visual-semantic alignments for generating image descriptions

4. Rouge: A package for automatic evaluation of summaries;lin,2004

5. A novel automatic image caption generation using bidirectional long-short term memory framework Multimedia Tools and Applications;ye,2021

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. Visual Insight: Deep Multilayer Fusion with Inception-Based LSTM for Descriptive Image Captioning;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

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