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Attention-Based Models for Image Captioning by IAES IJAI is a document available to read on EtoBox.

What is Attention-Based Models for Image Captioning about?

Image captioning has been widely studied due to its ability in a visual scene understanding. Automatic visual scene understanding is useful for remote monitoring system and visually impaired people. Attention-based models, including transformer, are the current state-of-the-art architectures used in developing image captioning model. This study examines the works in the development of image captioning model, especially models that are developed based on attention mechanism. The architecture, the dataset, an

Author
IAES IJAI
Language
EN