Results 1 to 10 of about 14,919,864 (281)
Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN [PDF]
Sensors, 2022 The intelligent crack detection method is an important guarantee for the realization of intelligent operation and maintenance, and it is of great significance to traffic safety.
Hao Yang, Peixin Shi, Xiaojun Wei
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An OpenCL-Based FPGA Accelerator for Faster R-CNN [PDF]
Entropy, 2022 In recent years, convolutional neural network (CNN)-based object detection algorithms have made breakthroughs, and much of the research corresponds to hardware accelerator designs. Although many previous works have proposed efficient FPGA designs for one-
Jianjing An +3 more
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Future TransportationThe Faster Region-based Convolutional Network (Faster R-CNN) is an efficient object detection model. However, its large size and significant computational requirements limit its applicability in embedded systems and real-time environments.
Tamás Menyhárt, Róbert Lakatos
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Local keypoint-based Faster R-CNN [PDF]
Applied Intelligence, 2020 Region-based Convolutional Neural Network (R-CNN) detectors have achieved state-of-the-art results on various challenging benchmarks. Although R-CNN has achieved high detection performance, the research of local information in producing candidates is insufficient.
Qingde Li, Yongqiang Cheng, Biao Jie
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An Improved Faster R-CNN for Small Object Detection [PDF]
IEEE Access, 2019 With the increase of training data and the improvement of machine performance, the object detection method based on convolutional neural network (CNN) has become the mainstream algorithm in field of the current object detection.
Changqing Cao +7 more
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Lightweight faster R-CNN for object detection in optical remote sensing images [PDF]
Scientific ReportsVarious applications in remote sensing rely on object detection approaches, such as urban detection, precision farming, and disaster prediction. Faster RCNN has gained popularity for its performance but comes with significant computational and storage ...
Andrew Magdy +3 more
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An Improved Faster R-CNN for Same Object Retrieval
IEEE Access, 2017 An improved faster region-based convolutional neural network (R-CNN) [same object retrieval (SOR) faster R-CNN] is proposed to retrieve the same object in different scenes with few training samples.
Hailiang Li +2 more
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Deep Learning-Based Dental Caries Diagnosis: A Modality-Stratified Systematic Review and Meta-Analysis of Faster R-CNN and Mask R-CNN [PDF]
DiagnosticsBackground: Deep convolutional neural networks (DCNNs) are increasingly used in computer-aided dental diagnostics. However, the relative diagnostic performance of commonly applied architectures, particularly Faster R-CNN and Mask R-CNN, has not been ...
Quang Tuan Lam +4 more
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Improved Faster R-CNN for the Detection Method of Industrial Control Logic Graph Recognition [PDF]
Frontiers in Bioengineering and Biotechnology, 2022 In the process of developing the industrial control SAMA logic diagram commonly used in the industrial process control system, there are some problems, that is, the size of logic diagram elements is small, the shape is various, similar element ...
Shilin Wu +4 more
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Joint embedding VQA model based on dynamic word vector [PDF]
PeerJ Computer Science, 2021 The existing joint embedding Visual Question Answering models use different combinations of image characterization, text characterization and feature fusion method, but all the existing models use static word vectors for text characterization.
Zhiyang Ma +3 more
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