From methods to datasets: A survey on Image-Caption Generators
Abstract Image-Caption Generator is a popular Artificial Intelligence research tool that works
with image comprehension and language definition. Creating well-structured sentences …
with image comprehension and language definition. Creating well-structured sentences …
[HTML][HTML] Generating image captions using Bahdanau attention mechanism and transfer learning
Automatic image caption prediction is a challenging task in natural language processing.
Most of the researchers have used the convolutional neural network as an encoder and …
Most of the researchers have used the convolutional neural network as an encoder and …
[PDF][PDF] Automated medical image captioning with soft attention‐based LSTM model utilizing YOLOv4 algorithm
P Ravinder, S Srinivasan - Journal of Computer Science, 2024 - researchgate.net
The medical image captioning field is one of the prominent fields nowadays. The
interpretation and captioning of medical images can be a time-consuming and costly …
interpretation and captioning of medical images can be a time-consuming and costly …
[HTML][HTML] Person Re-Identification Network Based on Edge-Enhanced Feature Extraction and Inter-Part Relationship Modeling
C Zhu, W Zhou, J Ma - Applied Sciences, 2024 - mdpi.com
Person re-identification (Re-ID) is a technique for identifying target pedestrians in images or
videos. In recent years, owing to the advancements in deep learning, research on person re …
videos. In recent years, owing to the advancements in deep learning, research on person re …
Towards bridging the semantic gap between image and text: An empirical approach
Vlogs, Recordings, news, sport coverages are huge sources of multimodal information that
do not just limit to text but extend to audio, images and videos. Applications such as …
do not just limit to text but extend to audio, images and videos. Applications such as …
Automatic image captioning in Thai for house defect using a deep learning-based approach
M Jaruschaimongkol, K Satirapiwong… - Advances in …, 2024 - Springer
This study aims to automate the reporting process of house inspections, which enables
prospective buyers to make informed decisions. Currently, the inspection report generated …
prospective buyers to make informed decisions. Currently, the inspection report generated …
[PDF][PDF] Automatic Music Synthesis using Neural Networks and Machine Learning Techniques
DN Charitou - 2023 - dspace.lib.ntua.gr
Abstract Machine Learning has flourished over the last few years, resulting in the inevitable
inclusion of Artificial Intelligence into our everyday life. The emulation of human mental …
inclusion of Artificial Intelligence into our everyday life. The emulation of human mental …
Image captioning using attention network and machine learning approaches
M Pandey - AIP Conference Proceedings, 2024 - pubs.aip.org
The automatic prediction of image captions is a very challenging task in natural language
processing (NLP). Many studies have employed convolutional neural networks as encoders …
processing (NLP). Many studies have employed convolutional neural networks as encoders …
Precise and Faster Image Description Generation with Limited Resources Using an Improved Hybrid Deep Model
We propose a model that performs image captioning efficiently based on entity relations,
followed by a deep learning-based encoder and decoder model. In order to make image …
followed by a deep learning-based encoder and decoder model. In order to make image …
Swin Transformer-based Image Captioning with Feature Enhancement and Multi-stage Fusion
L Liu, Y Jiao, X Li, J Li, H Wang… - 2023 19th International …, 2023 - ieeexplore.ieee.org
The objective of image captioning involves empowering computers to autonomously
produce human-like sentences that depict a provided image. To address the issues of …
produce human-like sentences that depict a provided image. To address the issues of …