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Explainability for Medical Image Captioning
2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2022 Abstract Medical image captioning is the process of generating clinically significant descriptions to medical images, which has many applications among which medical report generation is the most frequent one. In general, automatic captioning of medical images is of great interest for medical experts since it offers assistance in diagnosis, disease ...
Oussalah Mourad +2 more
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Topic scene graphs for image captioning
IET Computer Vision, 2022 When describing an image, people can rapidly extract the topic from the image and find the main object, generating sentences that match the main idea of the image. However, most of the scene graph generation methods do not emphasise the importance of the
Min Zhang +4 more
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CoRR, 2019 When describing images with natural language, the descriptions can be made more informative if tuned using downstream tasks. This is often achieved by training two networks: a "speaker network" that generates sentences given an image, and a "listener network" that uses them to perform a task.
Gilad Vered +3 more
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Image Description Generation Method by Panoptic Segmentation and Multi-Visual-Feature Fusion [PDF]
Jisuanji gongchengDue to their powerful sequence modeling capabilities, Transformer-based image captioning models have demonstrated remarkable performance. However, most of these models typically utilize region visual features to perform encoding and decoding, which ...
LIU Mingming, LU Jinfu, LIU Hao, ZHANG Haiyan
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CoRR, 2019 In recent years, the biggest advances in major Computer Vision tasks, such as object recognition, handwritten-digit identification, facial recognition, and many others., have all come through the use of Convolutional Neural Networks (CNNs). Similarly, in the domain of Natural Language Processing, Recurrent Neural Networks (RNNs), and Long Short Term ...
Elaina Tan, Lakshay Sharma
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From Plane to Hierarchy: Deformable Transformer for Remote Sensing Image Captioning
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 With the growth of remote sensing images, understanding image content automatically has attracted many researchers' interests in deep learning for remote sensing image.
Runyan Du +6 more
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Automated Image Captioning Using Sparrow Search Algorithm With Improved Deep Learning Model
IEEE Access, 2023 Image captioning is a deep learning technique that intends to create and generate textual descriptions or captions for images. It integrates computer vision and natural language processing (NLP) to comprehend the visual content of an image and generate ...
Munya A. Arasi +5 more
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A Rapid Review of Image Captioning
JITeCS (Journal of Information Technology and Computer Science), 2021 Image captioning is an automatic process for generating text based on the content observed in an image. We do review, create framework, and build application model. We review image captioning into 4 categories based on input model, process model, output
Adriyendi Adriyendi
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Exploring Multi-Level Attention and Semantic Relationship for Remote Sensing Image Captioning
IEEE Access, 2020 Remote sensing image captioning, which aims to understand high-level semantic information and interactions of different ground objects, is a new emerging research topic in recent years.
Zhenghang Yuan, Xuelong Li, Qi Wang
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Applied Sciences, 2023 With the explosion of visual content on the Internet, creating captions for images has become a necessary task and an exciting topic for many researchers.
Ashwaq Alsayed +3 more
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