深度卷积应用于目标检测算法综述.
董文轩, 梁宏涛, 刘国柱, 胡强… - Journal of Frontiers of …, 2022 - search.ebscohost.com
目标检测作为计算机视觉中最基本, 最具挑战性的任务之一, 旨在找出图像中特定的目标,
并对目标进行定位和分类, 现已被广泛应用于工业质检, 视频监控, 无人驾驶等众多领域. 近年来 …
并对目标进行定位和分类, 现已被广泛应用于工业质检, 视频监控, 无人驾驶等众多领域. 近年来 …
Real-time automatic assisted detection of uterine fibroid in ultrasound images using a deep learning detector
T Yang, L Yuan, P Li, P Liu - Ultrasound in Medicine & Biology, 2023 - Elsevier
Objective Uterine smooth muscle hyperplasia causes a tumor called a uterine fibroid. With
an incidence of up to 30%, it is one of the most prevalent tumors in women and has the third …
an incidence of up to 30%, it is one of the most prevalent tumors in women and has the third …
Assessing the effectiveness of YOLO architectures for smoke and wildfire detection
This paper presents a comprehensive evaluation of YOLO architectures for smoke and
wildfire detection, including YOLOv5, YOLOv6, YOLOv7, YOLOv8, and YOLO-NAS. We aim …
wildfire detection, including YOLOv5, YOLOv6, YOLOv7, YOLOv8, and YOLO-NAS. We aim …
Bi-modal transformer-based approach for visual question answering in remote sensing imagery
Recently, vision-language models based on transformers are gaining popularity for joint
modeling of visual and textual modalities. In particular, they show impressive results when …
modeling of visual and textual modalities. In particular, they show impressive results when …
A precise apple leaf diseases detection using BCTNet under unconstrained environments
Y Zhang, G Zhou, A Chen, M He, J Li, Y Hu - Computers and Electronics in …, 2023 - Elsevier
Accurate detection of apple diseases is crucial for agricultural production as it enables timely
diagnosis and control, thereby reducing crop yield losses. However, detecting apple leaf …
diagnosis and control, thereby reducing crop yield losses. However, detecting apple leaf …
Improved apple fruit target recognition method based on YOLOv7 model
H Yang, Y Liu, S Wang, H Qu, N Li, J Wu, Y Yan… - Agriculture, 2023 - mdpi.com
This study proposes an improved algorithm based on the You Only Look Once v7 (YOLOv7)
to address the low accuracy of apple fruit target recognition caused by high fruit density …
to address the low accuracy of apple fruit target recognition caused by high fruit density …
Large-scale date palm tree segmentation from multiscale uav-based and aerial images using deep vision transformers
The reliable and efficient large-scale mapping of date palm trees from remotely sensed data
is crucial for developing palm tree inventories, continuous monitoring, vulnerability …
is crucial for developing palm tree inventories, continuous monitoring, vulnerability …
[HTML][HTML] Automatic classification of textile visual pollutants using deep learning networks
Urban pollution is a massive global problem, especially in industrialized and developing
nations. Visual pollution is an issue concerned with the external noticeable appearance of …
nations. Visual pollution is an issue concerned with the external noticeable appearance of …
Real-time ground-level building damage detection based on lightweight and accurate YOLOv5 using terrestrial images
C Liu, H Sui, J Wang, Z Ni, L Ge - Remote Sensing, 2022 - mdpi.com
Real-time building damage detection effectively improves the timeliness of post-earthquake
assessments. In recent years, terrestrial images from smartphones or cameras have become …
assessments. In recent years, terrestrial images from smartphones or cameras have become …
Toward surface defect detection in electronics manufacturing by an accurate and lightweight YOLO-style object detector
J Wang, H Dai, T Chen, H Liu, X Zhang, Q Zhong… - Scientific Reports, 2023 - nature.com
In electronics manufacturing, surface defect detection is very important for product quality
control, and defective products can cause severe customer complaints. At the same time, in …
control, and defective products can cause severe customer complaints. At the same time, in …