Results 11 to 20 of about 141,410 (272)
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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Image Captioning Using Motion-CNN with Object Detection
Sensors, 2021 Automatic image captioning has many important applications, such as the depiction of visual contents for visually impaired people or the indexing of images on the internet.
Kiyohiko Iwamura +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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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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VSAM-Based Visual Keyword Generation for Image Caption
IEEE Access, 2021 Image caption is to understand and describe the visual content, which is expected to be applied in automatic news reporting in future. In recent years, there has been an increasing interest in an Encoder-Decoder framework for image caption: the encoder ...
Suya Zhang +3 more
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Image-Caption Model Based on Fusion Feature
Applied Sciences, 2022 The encoder–decoder framework is the main frame of image captioning. The convolutional neural network (CNN) is usually used to extract grid-level features of the image, and the graph convolutional neural network (GCN) is used to extract the image’s ...
Yaogang Geng +3 more
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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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A core region captioning framework for automatic video understanding in story video contents
International Journal of Engineering Business Management, 2022 Due to the rapid increase in images and image data, research examining the visual analysis of such unstructured data has recently come to be actively conducted. One of the representative image caption models the DenseCap model extracts various regions in
Hyesun Suh +3 more
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Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
IEEE Access, 2020 Recently, automatic image caption generation has been an important focus of the work on multimodal translation task. Existing approaches can be roughly categorized into two classes, top-down and bottom-up, the former transfers the image information ...
Ling Cheng +4 more
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