Results 161 to 170 of about 487,056 (216)

Faster R-CNN and YOLO based Vehicle detection: A Survey

International Conference Computing Methodologies and Communication, 2021
Automatic moving vehicle detection plays a crucial and challenging role in performing intelligent traffic surveillance. Numerous research projects aiming to perform proper detection and tracking of vehicles have been carried out and the methods designed ...
M. Maity, Sriparna Banerjee, Sheli Sinha Chaudhuri   +2 more
semanticscholar   +1 more source

Faster R–CNN–based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting

, 2020
Apples in modern orchards with vertical-fruiting-wall trees are comparatively easier to harvest and specifically suitable for robotic picking, where accurate apple detection and obstacle-free access are fundamentally important. However, field images have
Longsheng Fu, Yaqoob Majeed, Xin Zhang, M. Karkee, Qin Zhang   +4 more
semanticscholar   +1 more source

A Lightweight Faster R-CNN for Ship Detection in SAR Images

IEEE Geoscience and Remote Sensing Letters, 2022
Deep learning algorithms have been widely utilized for synthetic aperture radar (SAR) target detection. Nevertheless, the traditional feature extraction methods and deep learning methods achieve improved ship detection accuracy at a cost of increased ...
Yiding Li, Shunsheng Zhang, Wen-qin Wang
semanticscholar   +1 more source

Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN

Computers and Electronics in Agriculture, 2020
Deep learning achieved high success of fruit-on-plant detection such as on apple. Most of studies on apple detection identified all target fruits as one class regardless of fruit condition and other canopy objects.
Fangfang Gao, Longsheng Fu, Xin Zhang, Yaqoob Majeed, Rui Li, M. Karkee, Qin Zhang   +6 more
semanticscholar   +1 more source

Detection of maturity stages of coconuts in complex background using Faster R-CNN model

, 2021
Coconuts are commonly harvested by judging their maturity based on colour, shape, timeframe, shaking sound, and other growth characteristics of changes as they grow.
S. Parvathi, Sankar Tamil Selvi
semanticscholar   +1 more source

Meter Digit Recognition Via Faster R-CNN

2019 International Conference on Robotics and Automation in Industry (ICRAI), 2019
The current method of meter reading is manual and error-prone in developing countries. A meter reader logs the reading to calculate the cost of electricity. In recent years, there have been multiple efforts to provide automated solutions to read the meter digits. However, the existing systems extract reading based on a specific meter topology.
Muhammad Waqar, M. Abubakar Waris, Esha Rashid, Nudrat Nida, Shah Nawaz, M. Haroon Yousaf   +5 more
openaire   +1 more source

OMS-CNN: Optimized Multi-Scale CNN for Lung Nodule Detection Based on Faster R-CNN

IEEE journal of biomedical and health informatics
The global increase in lung cancer cases, often marked by pulmonary nodules, underscores the critical importance of timely detection to mitigate cancer progression and reduce morbidity and mortality.
Yadollah Zamanidoost, T. Ould-Bachir, Sylvain Martel   +2 more
semanticscholar   +1 more source

Comparative Investigations on Tomato Leaf Disease Detection and Classification Using CNN, R-CNN, Fast R-CNN and Faster R-CNN

2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), 2023
This composition bargains with the Tomato leaf infection discovery and classification utilizing different strategies like Convolutional Neural Network (CNN), Regions with CNN (R-CNN), Fast R-CNN and Faster R-CNN. The main issue in the agricultural sector
G. Priyadharshini, D. Raveena, J. Dolly
semanticscholar   +1 more source

Lung Nodule Detection based on Faster R-CNN Framework

Computer Methods and Programs in Biomedicine, 2021
Lung cancer is a worldwide high-risk disease, and lung nodules are the main manifestation of early lung cancer. Automatic detection of lung nodules reduces the workload of radiologists, the rate of misdiagnosis and missed diagnosis. For this purpose, we propose a Faster R-CNN algorithm for the detection of these lung nodules.Faster R-CNN algorithm can ...
Ying, Su, Dan, Li, Xiaodong, Chen
openaire   +2 more sources

An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation

IEEE journal of biomedical and health informatics, 2023
Detailed information of substructures of the whole heart is usually vital in the diagnosis of cardiovascular diseases and in 3D modeling of the heart. Deep convolutional neural networks have been demonstrated to achieve state-of-the-art performance in 3D
Hengfei Cui, Y. Wang, Y. Li, Di Xu, Lei Jiang, Yong Xia, Yanning Zhang   +6 more
semanticscholar   +1 more source