Results 11 to 20 of about 24,451 (274)
ACapMed: Automatic Captioning for Medical Imaging
Applied Sciences, 2022 Medical image captioning is a very challenging task that has been rarely addressed in the literature on natural image captioning. Some existing image captioning techniques exploit objects present in the image next to the visual features while generating ...
Djamila Romaissa Beddiar +3 more
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Image Captioning Through Image Transformer [PDF]
, 2021 Automatic captioning of images is a task that combines the challenges of image analysis and text generation. One important aspect in captioning is the notion of attention: How to decide what to describe and in which order. Inspired by the successes in text analysis and translation, previous work have proposed the \textit{transformer} architecture for ...
He, Sen +5 more
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Semantic interdisciplinary evaluation of image captioning models
Cogent Engineering, 2022 In our day-to-day life, synchronizing vision and language aspects plays a crucial role in solving various real-time challenges. Image captioning is one of them, and it aims to recognise objects, activities, and their relationships in order to provide a ...
Uddagiri Sirisha, Bolem Sai Chandana
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Arabic Captioning for Images of Clothing Using Deep Learning
Sensors, 2023 Fashion is one of the many fields of application that image captioning is being used in. For e-commerce websites holding tens of thousands of images of clothing, automated item descriptions are quite desirable.
Rasha Saleh Al-Malki +1 more
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Modeling of Hyperparameter Tuned Deep Learning Model for Automated Image Captioning
Mathematics, 2022 Image processing remains a hot research topic among research communities due to its applicability in several areas. An important application of image processing is the automatic image captioning technique, which intends to generate a proper description ...
Mohamed Omri +4 more
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Guiding image captioning models toward more specific captions
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Image captioning is conventionally formulated as the task of generating captions for images that match the distribution of reference image-caption pairs. However, reference captions in standard captioning datasets are short and may not uniquely identify the images they describe. These problems are further exacerbated when models are trained directly on
Kornblith, Simon +3 more
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A Review of Transformer-Based Approaches for Image Captioning
Applied Sciences, 2023 Visual understanding is a research area that bridges the gap between computer vision and natural language processing. Image captioning is a visual understanding task in which natural language descriptions of images are automatically generated using ...
Oscar Ondeng, Heywood Ouma, Peter Akuon
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Defoiling Foiled Image Captions [PDF]
Proceedings 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.
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, 2023 This is a technical report that was written after the completion of a deep learning image captioning project in 2018.
Ibrahim, Ahmed Salah Tawfik +1 more
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Offline visual aid system for the blind based on image captioning
Dianxin 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
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