Storytelling with image data: A systematic review and comparative analysis of methods and tools
In our digital age, data are generated constantly from public and private sources, social
media platforms, and the Internet of Things. A significant portion of this information comes in …
media platforms, and the Internet of Things. A significant portion of this information comes in …
Image captioning using inception V3 transfer learning model
As artificial intelligence has grown rapidly in recent years, picture captioning has attracted
the interest of numerous experts, which has become a fascinating and challenging …
the interest of numerous experts, which has become a fascinating and challenging …
Image captioning with novel topics guidance and retrieval-based topics re-weighting
Topic modelling (TM) has shown significant progress in boosting the effectiveness of image
captioning in the last few years. Although important improvements have been shown in …
captioning in the last few years. Although important improvements have been shown in …
Optimal transformers based image captioning using beam search
Image Captioning is the process of generating textual descriptions of given images. It
encompasses two major fields of deep learning, computer vision, and natural language …
encompasses two major fields of deep learning, computer vision, and natural language …
Topic-guided abstractive multimodal summarization with multimodal output
Summarization is a technique that produces condensed text from large text documents by
using different deep-learning techniques. Over the past few years, abstractive …
using different deep-learning techniques. Over the past few years, abstractive …
NumCap: a number-controlled multi-caption image captioning network
Image captioning is a promising task that attracted researchers in the last few years. Existing
image captioning models are primarily trained to generate one caption per image. However …
image captioning models are primarily trained to generate one caption per image. However …
Novel concept-based image captioning models using LSTM and multi-encoder transformer architecture
AAE Osman, MAW Shalaby, MM Soliman… - Scientific Reports, 2024 - nature.com
Captioning an image involves using a combination of vision and language models to
describe the image in an expressive and concise sentence. Successful captioning task …
describe the image in an expressive and concise sentence. Successful captioning task …
基于Se-ResNet50 特征编码器的公共环境图像描述生成.
唐渔， 何志琴， 周宇辉， 吴钦木… - Application Research of …, 2023 - search.ebscohost.com
针对传统公共环境图像描述模型中编码器—解码器结构在编码过程中特征提取能力不足以及
解码过程中上下文信息丢失严重的问题, 提出了一种基于se Resnet50 与M LsTM …
解码过程中上下文信息丢失严重的问题, 提出了一种基于se Resnet50 与M LsTM …
Image caption generation using deep neural networks
J Sudhakar, VV Iyer, ST Sharmila - … International Conference for …, 2022 - ieeexplore.ieee.org
In recent years, computer vision has made significant progress, primarily in the field of image
classification and object detection and recognition. Describing the image content …
classification and object detection and recognition. Describing the image content …
A linear sub-structure with co-variance shift for image captioning
Automatic description of image has attracted many researchers in the field of computer
vision for captioning the image in artificial intelligence which connects with Natural …
vision for captioning the image in artificial intelligence which connects with Natural …