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A Survey in Deep Learning Model for Image Annotation
http://hdl.handle.net/20.500.12678/0000007358
http://hdl.handle.net/20.500.12678/0000007358b9f35515-201a-4bcb-a929-e01b61609b8e
75060292-343f-4a98-90d7-026b34775d1b
Name / File | License | Actions |
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A Survey in Deep Learning Model for Image Annotation.pdf (114 KB)
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Publication type | ||||||
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Journal article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | A Survey in Deep Learning Model for Image Annotation | |||||
Language | en | |||||
Publication date | 2019-03-11 | |||||
Authors | ||||||
Phyu Phyu Khaing | ||||||
May The Yu | ||||||
Description | ||||||
In image annotation, there are two types: sentence based annotation and single word annotation. Deep learning can get the more accurate sentence for the image. This paper is the survey for image annotation that applied the deep learning model. This discusses existing methods, technical difficulty, popular datasets, evaluation metrics that mostly used for image annotation. |
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Keywords | ||||||
Image Annotation; Deep Learning Model; Datasets; Evaluation Metrics | ||||||
Journal articles | ||||||
1 | ||||||
International Journal of Computer (IJC), | ||||||
54-63 | ||||||
32 |