YOLOv6: A single-stage object detection framework for industrial applications
For years, the YOLO series has been the de facto industry-level standard for efficient object
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …
detection. The YOLO community has prospered overwhelmingly to enrich its use in a …
A comprehensive review of deep learning-based PCB defect detection
X Chen, Y Wu, X He, W Ming - IEEE Access, 2023 - ieeexplore.ieee.org
A printed circuit board (PCB) functions as a substrate essential for interconnecting and
securing electronic components. Its widespread integration is evident in modern electronic …
securing electronic components. Its widespread integration is evident in modern electronic …
Building a bridge of bounding box regression between oriented and horizontal object detection in remote sensing images
Oriented object detection (OOD) aims to precisely detect the objects with arbitrary orientation
in remote sensing images (RSIs). Up to now, most of the bounding box regression (BBR) …
in remote sensing images (RSIs). Up to now, most of the bounding box regression (BBR) …
Generating transferable 3d adversarial point cloud via random perturbation factorization
Recent studies have demonstrated that existing deep neural networks (DNNs) on 3D point
clouds are vulnerable to adversarial examples, especially under the white-box settings …
clouds are vulnerable to adversarial examples, especially under the white-box settings …
Concrete dam damage detection and localisation based on YOLOv5s-HSC and photogrammetric 3D reconstruction
S Zhao, F Kang, J Li - Automation in Construction, 2022 - Elsevier
This paper presents a system for detecting damages in concrete dams that combines the
proposed YOLOv5s-HSC algorithm and a three-dimensional (3D) photogrammetric …
proposed YOLOv5s-HSC algorithm and a three-dimensional (3D) photogrammetric …
YOLO-extract: Improved YOLOv5 for aircraft object detection in remote sensing images
Z Liu, Y Gao, Q Du, M Chen, W Lv - IEEE Access, 2023 - ieeexplore.ieee.org
Compared with natural images, remote sensing targets have small and dense target shapes
as well as complex target backgrounds. As a result, insufficient detection accuracy and …
as well as complex target backgrounds. As a result, insufficient detection accuracy and …
Fine-tuned YOLOv5 for real-time vehicle detection in UAV imagery: Architectural improvements and performance boost
MH Hamzenejadi, H Mohseni - Expert Systems with Applications, 2023 - Elsevier
Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …
BANet: Small and multi-object detection with a bidirectional attention network for traffic scenes
S Wang, Z Qu, C Li, L Gao - Engineering Applications of Artificial …, 2023 - Elsevier
Improving the detection accuracy and speed for small and multi-object detection is a hot
issue in traffic environments. Despite the substantial advances in object detection algorithms …
issue in traffic environments. Despite the substantial advances in object detection algorithms …
Small unopened cotton boll counting by detection with MRF-YOLO in the wild
Q Liu, Y Zhang, G Yang - Computers and electronics in agriculture, 2023 - Elsevier
Accurate detection and counting of unopened cotton bolls at the early stage of cotton
maturation is an effective way to develop crop load management and harvesting strategies …
maturation is an effective way to develop crop load management and harvesting strategies …
CFANet: Efficient detection of UAV image based on cross-layer feature aggregation
Y Zhang, C Wu, W Guo, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of the unmanned aerial vehicle (UAV) industry, UAV image
object detection technology has become a hotspot. However, due to a large number of …
object detection technology has become a hotspot. However, due to a large number of …