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Paper Abstract and Keywords
Presentation 2022-02-22 10:30
A Length Controllable Model for Stylized Image Captioning
Chi Zhang, Li Tao, Yamasaki Toshihiko (UTokyo)
Abstract (in Japanese) (See Japanese page) 
(in English) Stylized image captioning aims at generating captions with styles, based on the input images. In this paper, we aim at generating both emotionally positive and negative sentences. For this purpose, we propose a Bidirectional Encoder Representations from Transformers (BERT) based model, StyleCapBERT. Our model is the first image captioning model that controls the length and style of the captions at the same time. Not only did our model achieve good performance in multiple evaluation metrics such as METEOR and ROGUE, but also it can control the length and the style of the captions accurately on demand.
Keyword (in Japanese) (See Japanese page) 
(in English) Stylized image captioning / BERT / / / / / /  
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Conference Information
Committee AIT ME MMS IEICE-IE IEICE-ITS  
Conference Date 2022-02-21 - 2022-02-22 
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Paper Information
Registration To IEICE-IE 
Conference Code 2022-02-IE-ITS-AIT-ME-MMS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Length Controllable Model for Stylized Image Captioning 
Sub Title (in English)  
Keyword(1) Stylized image captioning  
Keyword(2) BERT  
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1st Author's Name Chi Zhang  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Li Tao  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Yamasaki Toshihiko  
3rd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2022-02-22 10:30:00 
Presentation Time 15 minutes 
Registration for IEICE-IE 
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Volume (vol) vol.46 
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