Results 21 to 30 of about 2,289 (259)

Robust Image Captioning

open access: yesCoRR, 2020
Automated captioning of photos is a mission that incorporates the difficulties of photo analysis and text generation. One essential feature of captioning is the concept of attention: how to determine what to specify and in which sequence. In this study, we leverage the Object Relation using adversarial robust cut algorithm, that grows upon this method ...
Daniel Yarnell, Xian Wang
openaire   +2 more sources

Automatic image captioning [PDF]

open access: yes2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2005
We examine the problem of automatic image captioning. Given a training set of captioned images, we want to discover correlations between image features and keywords, so that we can automatically find good keywords for a new image. We experiment thoroughly with multiple design alternatives on large datasets of various content styles, and our proposed ...
Jia-Yu Pan   +3 more
openaire   +2 more sources

Offline visual aid system for the blind based on image captioning

open access: yesDianxin kexue, 2022
In view of the inconveniences of existing visual aid systems for the blind, the method of running the image captioning model on portable mobile devices based on model pruning was discussed.Model pruning techniques and image captioning models were ...
Yue CHEN   +3 more
doaj   +2 more sources

Controllable Image Captioning

open access: yesCoRR, 2022
State-of-the-art image captioners can generate accurate sentences to describe images in a sequence to sequence manner without considering the controllability and interpretability. This, however, is far from making image captioning widely used as an image can be interpreted in infinite ways depending on the target and the context at hand.
openaire   +2 more sources

Image captioning

open access: yes, 2023
This is a technical report that was written after the completion of a deep learning image captioning project in 2018.
CHO JAEMIN   +4 more
openaire   +5 more sources

Image Captioning

open access: yesCoRR, 2018
arXiv admin note: text overlap with arXiv:1609.06647 by other ...
Vikram Mullachery, Vishal Motwani
openaire   +2 more sources

Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap

open access: yesIEEE Access, 2020
Methodologies that utilize Deep Learning offer great potential for applications that automatically attempt to generate captions or descriptions about images and video frames.
Soheyla Amirian   +3 more
doaj   +1 more source

A thorough review of models, evaluation metrics, and datasets on image captioning

open access: yesIET Image Processing, 2022
Image captioning means generate descriptive sentences from a query image automatically. It has recently received widespread attention from the computer vision and natural language processing communities as an emerging visual task.
Gaifang Luo   +4 more
doaj   +1 more source

Image Captioning With Positional and Geometrical Semantics

open access: yesIEEE Access, 2021
The last 5 to 6 years have seen tremendous progress in automatic image captioning using deep learning. Initial research focused on the attribute-to-attribute comparison of image features and texts to describe the image as a sentence, the current research
Anwar Ul Haque   +2 more
doaj   +1 more source

Defoiling Foiled Image Captions [PDF]

open access: yesProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), 2018
In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2018)
Madhyastha, P., Wang, J.K., Specia, L.
openaire   +3 more sources

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