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Attention-Based Deep Learning Model for Image Captioning: A Comparative Study
http://hdl.handle.net/20.500.12678/0000007355
http://hdl.handle.net/20.500.12678/0000007355f942309d-ee63-4be5-8e3a-48d7e7fcfad7
c08409d2-2ec3-4dd3-b0c5-280b24eaedc3
Name / File | License | Actions |
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Attention-Based Deep Learning Model for Image Captioning.pdf (532 KB)
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Publication type | ||||||
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Journal article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Attention-Based Deep Learning Model for Image Captioning: A Comparative Study | |||||
Language | en | |||||
Publication date | 2019-05-04 | |||||
Authors | ||||||
Phyu Phyu Khaing | ||||||
May The Yu | ||||||
Description | ||||||
This paper proposes the comparative study for attention-based deep learning model for image captioning. This presents the basic analyzing techniques for performance, advantages, and weakness. This also discusses the datasets for image captioning and the evaluation metrics to test the accuracy. |
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Keywords | ||||||
Attention Mechanism, Deep Learning Model, Image Captioning | ||||||
Journal articles | ||||||
6 | ||||||
International Journal of Image, Graphics and Signal Processing (IJIGSP) | ||||||
1-8 | ||||||
11 |