Model Semantic Attention (SemAtt) With Hybrid Learning Separable Neural Network and Long Short-Term Memory to Generate Caption

Model Semantic Attention (SemAtt) With Hybrid Learning Separable Neural Network and Long Short-Term Memory to Generate Caption

Image captioning is a hot topic that combines a multidiscipline task between computer vision and natural language processing. One of the tasks in the geological field is to make descriptions from the images of geological rocks. The task of a geologist is to write a content description of an image an...

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Bibliographic Details
Main Authors: Agus Nursikuwagus, Rinaldi Munir, Masayu L. Khodra, Deshinta Arrova Dewi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Separable neural network
LSTM
transformers
captioning
semantic
attention
Online Access:https://ieeexplore.ieee.org/document/10719978/
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https://ieeexplore.ieee.org/document/10719978/

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