From show to tell: A survey on deep learning-based image captioning
Connecting Vision and Language plays an essential role in Generative Intelligence. For this
reason, large research efforts have been devoted to image captioning, ie describing images …
reason, large research efforts have been devoted to image captioning, ie describing images …
Vision-language intelligence: Tasks, representation learning, and large models
This paper presents a comprehensive survey of vision-language (VL) intelligence from the
perspective of time. This survey is inspired by the remarkable progress in both computer …
perspective of time. This survey is inspired by the remarkable progress in both computer …
A comprehensive literature review on image captioning methods and metrics based on deep learning technique
One of the trending areas of study in artificial intelligence is image captioning. Image
captioning is a process of creating descriptive information for visual objects, image …
captioning is a process of creating descriptive information for visual objects, image …
[PDF][PDF] Universal captioner: Long-tail vision-and-language model training through content-style separation
While captioning models have obtained compelling results in describing natural images,
they still do not cover the entire long-tail distribution of real-world concepts. In this paper, we …
they still do not cover the entire long-tail distribution of real-world concepts. In this paper, we …
Image understanding by captioning with differentiable architecture search
R Hosseini, P Xie - Proceedings of the 30th ACM international …, 2022 - dl.acm.org
In deep learning applications, image understanding is a crucial task, where several
techniques such as image captioning and visual question answering have been widely …
techniques such as image captioning and visual question answering have been widely …
Image captioning via proximal policy optimization
L Zhang, Y Zhang, X Zhao, Z Zou - Image and Vision Computing, 2021 - Elsevier
Image captioning is the task of generating captions of images in natural language. The
training typically consists of two phases, first minimizing the XE (cross-entropy) loss, and …
training typically consists of two phases, first minimizing the XE (cross-entropy) loss, and …
Image captioning using deep learning
CS Kanimozhiselvi, V Karthika… - 2022 International …, 2022 - ieeexplore.ieee.org
The process of generating a textual description for images is known as image captioning.
Now a days it is one of the recent and growing research problem. Day by day various …
Now a days it is one of the recent and growing research problem. Day by day various …
Knowledge Acquisition for Human-In-The-Loop Image Captioning
Image captioning offers a computational process to understand the semantics of images and
convey them using descriptive language. However, automated captioning models may not …
convey them using descriptive language. However, automated captioning models may not …
ReverseGAN: An intelligent reverse generative adversarial networks system for complex image captioning generation
G Tong, W Shao, Y Li - Displays, 2024 - Elsevier
Towards the inclusion of complex semantic relational images, we propose an intelligent
Reverse Generative Adversarial Network (ReverseGAN) with generative task guidance to …
Reverse Generative Adversarial Network (ReverseGAN) with generative task guidance to …
Eaes: Effective augmented embedding spaces for text-based image captioning
Text-based Image Captioning has been a novel problem since 2020. This topic remains
challenging because it requires the model to comprehend not only the visual context but …
challenging because it requires the model to comprehend not only the visual context but …