Results 11 to 20 of about 69,316 (271)
Geo-Aware Image Caption Generation [PDF]
Standard image caption generation systems produce generic descriptions of images and do not utilize any contextual information or world knowledge. In particular, they are unable to generate captions that contain references to the geographic context of an image, for example, the location where a photograph is taken or relevant geographic objects around ...
Nikiforova, Sofia +3 more
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Image Captioning Using Motion-CNN with Object Detection
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
doaj +1 more source
Multifaceted Feature Coding Image Caption Generation Algorithm Based on Transformer [PDF]
Object features extracted by object detection algorithms play an increasingly critical role in the generation of image captions.However, only using the features of object detection as the input of an image caption task can lead to the loss of other ...
HENG Hongjun, FAN Yuchen, WANG Jialiang
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A Rapid Review of Image Captioning
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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In the modern era, image captioning has become one of the most widely required tools. Moreover, there are inbuilt applications that generate and provide a caption for a certain image, all these things are done with the help of deep neural network models. The process of generating a description of an image is called image captioning.
Megha J Panicker +3 more
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Medical image captioning via generative pretrained transformers
Abstract The proposed model for automatic clinical image caption generation combines the analysis of radiological scans with structured patient information from the textual records. It uses two language models, the Show-Attend-Tell and the GPT-3, to generate comprehensive and descriptive radiology records.
Alexander Selivanov +5 more
openaire +4 more sources
Abstract: Image captioning aims to automatically generate a sentence description for an image. Our project model will take an image as input and generate an English sentence as output, describing the contents of the image. It has attractedmuch research attention in cognitive computing in the recent years.
Vani M, Priya S
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Image Caption Generation Using Contextual Information Fusion With Bi-LSTM-s
The image caption generation algorithm necessitates the expression of image content using accurate natural language. Given the existing encoder-decoder algorithm structure, the decoder solely generates words one by one in a front-to-back order and is ...
Huawei Zhang +3 more
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Compositional Generalization in Image Captioning [PDF]
To appear at CoNLL 2019 ...
Nikolaus, Mitja +4 more
openaire +5 more sources
Image Description Generator using Residual Neural Network and Long Short-Term Memory [PDF]
Human beings can describe scenarios and objects in a picture through vision easily whereas performing the same task with a computer is a complicated one.
Mahesh Kumar Morampudi +3 more
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