Deep learning for logo detection: A survey

S Hou, J Li, W Min, Q Hou, Y Zhao, Y Zheng… - ACM Transactions on …, 2023 - dl.acm.org
Logo detection has gradually become a research hotspot in the field of computer vision and
multimedia for its various applications, such as social media monitoring, intelligent …

[HTML][HTML] 3D building reconstruction from single street view images using deep learning

HE Pang, F Biljecki - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Abstract 3D building models are an established instance of geospatial information in the
built environment, but their acquisition remains complex and topical. Approaches to …

Autonomous robot system based on room nameplate recognition using YOLOv4 method on jetson nano 2GB

MPD Cahyo, F Utaminingrum - JOIV: International Journal on Informatics …, 2022 - joiv.org
The prediction of COVID-19 cases will continue to experience a surge, inseparable from the
presence of a new variant of the coronavirus in the world. One of the best ways to prevent …

A comparative study of YOLOv5 models on American Sign Language dataset

MS Lui, F Utaminingrum - … of the 7th International Conference on …, 2022 - dl.acm.org
Sign language is the most common way of communication for people with hearing and
speech difficulties. One of the biggest problems for sign language user is that most people …

Pseudo-shot Learning for Soil Classification With Laser-Induced Breakdown Spectroscopy

Y Huang, A Bais, AE Hussein - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
Laser-induced breakdown spectroscopy (LIBS) has become an emerging analytical
technique for soil analysis. The application of machine learning for quantitative and …

Trademark Detection Based on Improved SSD Algorithm

X Chen, H Bi, C Hu - Proceedings of the 2023 6th International …, 2023 - dl.acm.org
Trademarks are found everywhere in daily life. With the development of deep learning in the
field of image recognition, trademark detection has become a hot research topic. Although …