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[HTML][HTML] Target detection for remote sensing based on the enhanced YOLOv4 with improved BiFPN
F Zhu, Y Wang, J Cui, G Liu, H Li - … Journal of Remote Sensing and Space …, 2023 - Elsevier
To solve problems for false detection, inadequate regression performance of anchor frames,
and the inability to detect small targets in traditional multiscale target detection methods …
and the inability to detect small targets in traditional multiscale target detection methods …
Novel blockchain deep learning framework to ensure video security and lightweight storage for construction safety management
X Pan, L Shen, B Zhong, D Sheng, F Huang… - Advanced Engineering …, 2024 - Elsevier
In construction management, video data tampering behavior like manual forging and
deletion can negatively impact on-site safety and accident accountability. Blockchain …
deletion can negatively impact on-site safety and accident accountability. Blockchain …
Lightweight deep learning models for aerial scene classification: A comprehensive survey
With the rapid growth of aerial image quantity and quality, the performance of aerial scene
classifiers based on deep learning models has also achieved tremendous success …
classifiers based on deep learning models has also achieved tremendous success …
[HTML][HTML] Aircraft engine danger areas incursion detection using keypoint detection and IoT
Operational safety at airports has long been a subject of active research, with a growing
focus on the safety of aircraft stands in recent years. The phase during which an aircraft taxi …
focus on the safety of aircraft stands in recent years. The phase during which an aircraft taxi …
Accurate recognition of jujube tree trunks based on contrast limited adaptive histogram equalization image enhancement and improved YOLOv8
S Ling, N Wang, J Li, L Ding - Forests, 2024 - mdpi.com
The accurate recognition of tree trunks is a prerequisite for precision orchard yield
estimation. Facing the practical problems of complex orchard environment and large data …
estimation. Facing the practical problems of complex orchard environment and large data …
Lightweight CNN model: automated vehicle detection in aerial images
Efficient vehicle detection has played an important role in Intelligent Transportation Systems
(ITS) in smart cities. With the development of the Convolutional Neural Network (CNN) for …
(ITS) in smart cities. With the development of the Convolutional Neural Network (CNN) for …
Optimized deep learning vision system for human action recognition from drone images
There are several benefits to constructing a lightweight vision system that is implemented
directly on limited hardware devices. Most deep learning-based computer vision systems …
directly on limited hardware devices. Most deep learning-based computer vision systems …
Improved feature extraction network in lightweight YOLOv7 model for real-time vehicle detection on low-cost hardware
The advancement of unmanned aerial vehicles (UAVs) has drawn researchers to update
object detection algorithms for better accuracy and computation performance. Previous …
object detection algorithms for better accuracy and computation performance. Previous …
[HTML][HTML] A weld surface defect recognition method based on improved MobileNetV2 algorithm
K Ding, Z Niu, J Hui, X Zhou, FTS Chan - Mathematics, 2022 - mdpi.com
Traditional welding quality inspection methods for pipelines and pressure vessels are time-
consuming, labor-intensive, and suffer from false and missed inspection problems. With the …
consuming, labor-intensive, and suffer from false and missed inspection problems. With the …
An automatic garbage detection using optimized YOLO model
Garbage pollution is an increasing global concern. Hence, the adoption of innovative
solutions is important for controlling garbage pollution. In order to develop an efficient …
solutions is important for controlling garbage pollution. In order to develop an efficient …