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 …
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 …
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 …
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 …
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 …
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 …
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 …
Closed Circuit Television (CCTV) for surveillance has evolved from a passive manual system to an automated, integrated intelligent system. However, image processing in this …
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 …