Results 31 to 40 of about 1,094,036 (234)
YOLOv7-3D: A Monocular 3D Traffic Object Detection Method from a Roadside Perspective
Applied Sciences, 2023 Current autonomous driving systems predominantly focus on 3D object perception from the vehicle’s perspective. However, the single-camera 3D object detection algorithm in the roadside monitoring scenario provides stereo perception of traffic objects ...
Zixun Ye +3 more
doaj +1 more source
Fast Recognition and Counting Method of Dragon Fruit Flowers and Fruits Based on Video Stream
Sensors, 2023 Dragon fruit (Hylocereus undatus) is a tropical and subtropical fruit that undergoes multiple ripening cycles throughout the year. Accurate monitoring of the flower and fruit quantities at various stages is crucial for growers to estimate yields, plan ...
Xiuhua Li +5 more
doaj +1 more source
Efficient and Scalable Object Localization in 3D on Mobile Device
Journal of Imaging, 2022 Two-Dimensional (2D) object detection has been an intensely discussed and researched field of computer vision. With numerous advancements made in the field over the years, we still need to identify a robust approach to efficiently conduct classification ...
Neetika Gupta, Naimul Mefraz Khan
doaj +1 more source
BlitzNet: A Real-Time Deep Network for Scene Understanding [PDF]
, 2017 Real-time scene understanding has become crucial in many applications such as autonomous driving. In this paper, we propose a deep architecture, called BlitzNet, that jointly performs object detection and semantic segmentation in one forward pass ...
Dvornik, Nikita +3 more
core +4 more sources
IET Computer Vision, 2020 Owing to large‐scale diversity and location uncertainty in object detection, how to enrich semantic information has become an important issue that attracts a lot of concern.
Jinding Wang, Haifeng Hu, Xinlong Lu
doaj +1 more source
A Survey of Object Detection for UAVs Based on Deep Learning
Remote Sensing, 2023 With the rapid development of object detection technology for unmanned aerial vehicles (UAVs), it is convenient to collect data from UAV aerial photographs.
Guangyi Tang +4 more
doaj +1 more source
Enhanced Sparse Detection for End-to-End Object Detection
IEEE Access, 2022 In this paper, we propose an enhanced end-to-end object detector based on Sparse R-CNN (EnSparse R-CNN), which aims at backbone, neck and head of object detector.
Yongwei Liao, Gang Chen, Runnan Xu
doaj +1 more source
An Object Detection Using Image Processing In Digital Forensics Science
JISR on Computing, 2018 Object detection is one of the most important sectors in digital forensics science. The object detection technique is valuable for a number of purposes for instance: medical diagnosis scanners, traffic monitoring system, airport security examination ...
Kamran Ali Changezi +1 more
doaj +1 more source
Relation Networks for Object Detection
, 2018 Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era.
Dai, Jifeng +4 more
core +1 more source
Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
Remote Sensing, 2023 With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
Xuan Wang +4 more
doaj +1 more source