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Explicit Image Caption Reasoning: Generating Accurate and Informative Captions for Complex Scenes with LMM [PDF]

Sensors
The rapid advancement of sensor technologies and deep learning has significantly advanced the field of image captioning, especially for complex scenes.
Mingzhang Cui, Caihong Li, Yi Yang
doaj   +4 more sources

Infrared Image Caption Based on Object-Oriented Attention [PDF]

Entropy, 2023
With the ongoing development of image technology, the deployment of various intelligent applications on embedded devices has attracted increased attention in the industry.
Junfeng Lv, Tian Hui, Yongfeng Zhi, Yuelei Xu   +3 more
doaj   +2 more sources

Hierarchical Attention-Based Fusion for Image Caption With Multi-Grained Rewards

IEEE Access, 2020
Image caption based on reinforcement learning (RL) methods has achieved significant success recently. Most of these methods take CIDEr score as the reward of reinforcement learning algorithm to compute gradients, thus refining the image caption baseline ...
Chunlei Wu, Shaozu Yuan, Haiwen Cao, Yiwei Wei, Leiquan Wang   +4 more
doaj   +3 more sources

Enhancing image caption generation through context-aware attention mechanism [PDF]

Heliyon
Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction.
Ahatesham Bhuiyan, Eftekhar Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan   +3 more
doaj   +2 more sources

Cross-Lingual Image Caption Generation Based on Visual Attention Model

IEEE Access, 2020
As an interesting and challenging problem, generating image caption automatically has attracted increasingly attention in natural language processing and computer vision communities.
Bin Wang, Cungang Wang, Qian Zhang, Ying Su, Yang Wang, Yanyan Xu   +5 more
doaj   +3 more sources

Review of Image Captioning Methods Based on Encoding-Decoding Technology [PDF]

Jisuanji kexue yu tansuo, 2022
In recent years, image caption generation, as a multimodal task in the field of artificial intelligence, integrates the related research of computer vision and natural language processing, and can realize the modal conversion from image to text. It plays
GENG Yaogang, MEI Hongyan, ZHANG Xing, LI Xiaohui
doaj   +1 more source

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
doaj   +1 more source

News Image-Text Matching With News Knowledge Graph

IEEE Access, 2021
Image-text matching using the image caption method has made a great progress. However, there are many named entities in news text, and existing approaches are unable to directly generate named entities in the news image caption.
Zhao Yumeng, Yun Jing, Gao Shuo, Liu Limin   +3 more
doaj   +1 more source

Stylized Image Captioning Model Based on Disentangle-Retrieve-Generate [PDF]

Jisuanji kexue, 2022
Image captioning aims to generate a description text for the input image to accurately describe the image content.The stylized image captioning goes a step further on the basis of image captioning and introduces the consideration of language style.It ...
CHEN Zhang-hui, XIONG Yun
doaj   +1 more source

A Context Semantic Auxiliary Network for Image Captioning

Information, 2023
Image captioning is a challenging task, which generates a sentence for a given image. The earlier captioning methods mainly decode the visual features to generate caption sentences for the image.
Jianying Li, Xiangjun Shao
doaj   +1 more source