Image captioning for cultural artworks: a case study on ceramics

B Zheng, F Liu, M Zhang, T Zhou, S Cui, Y Ye… - Multimedia Systems, 2023 - Springer
When viewing ancient artworks, people try to build connections with them to 'read'the correct
messages from the past. A proper descriptive caption is essential for viewers to attain …

Auto-Scenario Generator for Autonomous Vehicle Safety: Multi-modal Attention-based Image Captioning Model using Digital Twin Data

H Lee, J Song, K Hwang, M Kang - IEEE Access, 2024 - ieeexplore.ieee.org
The field of autonomous vehicles (AVs) scenarios has become a more vital process to
secure safety. However, the existing scenario approaches to assess AVs have three …

Deteksi Ras Kucing Menggunakan Compound Model Scaling Convolutional Neural Network

NA Choirunisa, T Karlita, R Asmara - Technomedia Journal, 2022 - ijc.ilearning.co
Kucing merupakan hewan yang sangat popular di dunia. Jumlah dari ras kucing di dunia
hanya sekitar 1% saja, sehingga didominasi oleh ras campuran maupun kucing domestik …

CrePoster: Leveraging multi-level features for cultural relic poster generation via attention-based framework

M Zhang, F Liu, B Li, Z Liu, W Ma, C Ran - Expert Systems with Applications, 2024 - Elsevier
Integrating multi-level features of cultural relics into aesthetic posters suitable for social
sharing can enhance cultural value dissemination. However, this task meets two major …

A study on visual understanding image captioning using different word embeddings and CNN-based feature extractions

DH Fudholi, A Zahra, RAN Nayoan - Kinetik: Game Technology …, 2022 - kinetik.umm.ac.id
Image captioning is a task that can provide a description of an image in natural language.
Image captioning can be used for a variety of applications, such as image indexing and …

Exploring Pre-Trained Model and Language Model for Translating Image to Bahasa

A Nurhopipah, J Suhaman… - … (Indonesian Journal of …, 2023 - journal.ugm.ac.id
In the last decade, there have been significant developments in Image Caption Generation
research to translate images into English descriptions. This task has also been conducted to …

TRCaptionNet: A novel and accurate deep Turkish image captioning model with vision transformer based image encoders and deep linguistic text decoders

S Yildiz, A MEMİŞ, S Varli - Turkish Journal of Electrical …, 2023 - journals.tubitak.gov.tr
Image captioning is known as a fundamental computer vision task aiming to figure out and
describe what is happening in an image or image region. Through an image captioning …

Analisis Fenomena Flypaper Effect pada Belanja Daerah dengan Pendekatan Software SPSS 20: Analysis of the Flypaper Effect Phenomenon on Regional Spending …

ET Nauw, NF Asyik, IB Riharjo - Technomedia Journal, 2023 - ijc.ilearning.co
The purpose of this study is to identify and understand how Local Revenue, General
Allocation Fund, and Special Allocation Fund affect Regional Expenditure, and to explore …

Image Captioning for Visual Surveillance System

A Nurhopipah, SA Sholikhatin… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
Closed Circuit Television (CCTV) for surveillance has evolved from a passive manual
system to an automated, integrated intelligent system. However, image processing in this …

Improving Neural Network Efficiency Through Advanced Pruning Techniques

N Tyche, A Taylor, J Evans, M Reid - Authorea Preprints, 2024 - techrxiv.org
In this paper, we propose a novel method for compressing and optimizing deep neural
networks through channel pruning based on spectral norm. As deep learning models grow …