Fully Convolutional CaptionNet: Siamese Difference Captioning Attention Model

Fully Convolutional CaptionNet: Siamese Difference Captioning Attention Model

The generation of the textual description of the differences in images is a relatively new concept that requires the fusion of both computer vision and natural language techniques. In this paper, we present a novel Fully Convolutional CaptionNet (FCC) that employs an encoder-decoder framework to per...

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Bibliographic Details
Main Authors: Ariyo Oluwasanmi, Enoch Frimpong, Muhammad Umar Aftab, Edward Y. Baagyere, Zhiguang Qin, Kifayat Ullah
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Image captioning
deep learning
Siamese network
recurrent neural network
convolutional neural network
attention
Online Access:https://ieeexplore.ieee.org/document/8922695/

Internet

https://ieeexplore.ieee.org/document/8922695/

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