Image Captioning with Pretrained Language Generators

2020 ◽  
Author(s):  
Saketh Vishnubhatla ◽  
Nishant Sinha
Keyword(s):  
Image Captioning

Feedback Attention Model for Image Captioning

2019 ◽  
Vol 31 (7) ◽  
pp. 1122
Author(s):  
Fan Lyu ◽  
Fuyuan Hu ◽  
Yanning Zhang ◽  
Zhenping Xia ◽  
S Sheng Victor
Keyword(s):  
Image Captioning ◽  
Attention Model

scholarly journals An Image Captioning Model Based on Bidirectional Depth Residuals and its Application

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 25360-25370
Author(s):  
Ziwei Zhou ◽  
Liang Xu ◽  
Chaoyang Wang ◽  
Wei Xie ◽  
Shuo Wang ◽  
...  
Keyword(s):  
Image Captioning ◽  
Model Based

scholarly journals Image Captioning Using Deep Convolutional Neural Networks (CNNs)

2020 ◽  
Vol 1712 ◽  
pp. 012015
Author(s):  
G. Geetha ◽  
T. Kirthigadevi ◽  
G.Godwin Ponsam ◽  
T. Karthik ◽  
M. Safa
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Image Captioning ◽  
Deep Convolutional Neural Networks

Vocabulary-Wide Credit Assignment for Training Image Captioning Models

2021 ◽  
Vol 30 ◽  
pp. 2450-2460
Author(s):  
Han Liu ◽  
Shifeng Zhang ◽  
Ke Lin ◽  
Jing Wen ◽  
Jianmin Li ◽  
...  
Keyword(s):  
Training Image ◽  
Image Captioning ◽  
Credit Assignment

A Hindi Image Caption Generation Framework Using Deep Learning

2021 ◽  
Vol 20 (2) ◽  
pp. 1-19
Author(s):  
Santosh Kumar Mishra ◽  
Rijul Dhir ◽  
Sriparna Saha ◽  
Pushpak Bhattacharyya
Keyword(s):  
Computer Vision ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
English Language ◽  
Image Captioning ◽  
Textual Description ◽  
Proposed Model ◽  
Hindi Language ◽  
The Given

Image captioning is the process of generating a textual description of an image that aims to describe the salient parts of the given image. It is an important problem, as it involves computer vision and natural language processing, where computer vision is used for understanding images, and natural language processing is used for language modeling. A lot of works have been done for image captioning for the English language. In this article, we have developed a model for image captioning in the Hindi language. Hindi is the official language of India, and it is the fourth most spoken language in the world, spoken in India and South Asia. To the best of our knowledge, this is the first attempt to generate image captions in the Hindi language. A dataset is manually created by translating well known MSCOCO dataset from English to Hindi. Finally, different types of attention-based architectures are developed for image captioning in the Hindi language. These attention mechanisms are new for the Hindi language, as those have never been used for the Hindi language. The obtained results of the proposed model are compared with several baselines in terms of BLEU scores, and the results show that our model performs better than others. Manual evaluation of the obtained captions in terms of adequacy and fluency also reveals the effectiveness of our proposed approach. Availability of resources : The codes of the article are available at https://github.com/santosh1821cs03/Image_Captioning_Hindi_Language ; The dataset will be made available: http://www.iitp.ac.in/∼ai-nlp-ml/resources.html .

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