Image2Text
Author:
Affiliation:
1. Tsinghua University, Beijing, China
2. Multimedia Search and Mining/Microsoft Research Asia, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2964284.2973831
Reference6 articles.
1. Long-term recurrent convolutional networks for visual recognition and description
2. Long Short-Term Memory
3. Guiding the Long-Short Term Memory Model for Image Caption Generation
4. Deep visual-semantic alignments for generating image descriptions
Cited by 10 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. Summarizing Charts of Financial Document via Context-Aware Multi-Modeling;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. RA3: A Human-in-the-loop Framework for Interpreting and Improving Image Captioning with Relation-Aware Attribution Analysis;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
3. Image Caption Generator using Deep Learning;International Journal of Advanced Research in Science, Communication and Technology;2024-04-29
4. Improving stylized caption compatibility with image content by integrating region context;Neural Computing and Applications;2021-10-22
5. An Intelligent Ubiquitous Learning Environment and Analytics on Images for Contextual Factors Analysis;Applied Sciences;2020-12-16
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