implementation of faster r-cnn Search Results


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Statistics of operation, parameters and mean average precision(mAP) accuracy of different object-detection models.
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Chronological order of applications and developments of AI for facial fracture detection reviewed in this study.
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Selected Publications.
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Selected Publications.
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Image Search Results


Statistics of operation, parameters and mean average precision(mAP) accuracy of different object-detection models.

Journal: Entropy

Article Title: An OpenCL-Based FPGA Accelerator for Faster R-CNN

doi: 10.3390/e24101346

Figure Lengend Snippet: Statistics of operation, parameters and mean average precision(mAP) accuracy of different object-detection models.

Article Snippet: Faster R-CNN (vgg16) [ ] , - , 32(float) , Xilinx ZC706 , - , - , - , 200 MHz , 875 , - , - , 1.167.

Techniques:

Faster R-CNN 8-bit quantization result.

Journal: Entropy

Article Title: An OpenCL-Based FPGA Accelerator for Faster R-CNN

doi: 10.3390/e24101346

Figure Lengend Snippet: Faster R-CNN 8-bit quantization result.

Article Snippet: Faster R-CNN (vgg16) [ ] , - , 32(float) , Xilinx ZC706 , - , - , - , 200 MHz , 875 , - , - , 1.167.

Techniques:

Comparison of the efficiency of the convolution computation for each layer of the Faster R-CNN and the backbone network is vgg16 . The estimated time is calculated using the theoretical performance model, and the actual time is on the Faster R-CNN-vgg16 design.The hardware configure parameters is P Y n c = 14 , P M c u = 16 , P Z v e c = 8 .

Journal: Entropy

Article Title: An OpenCL-Based FPGA Accelerator for Faster R-CNN

doi: 10.3390/e24101346

Figure Lengend Snippet: Comparison of the efficiency of the convolution computation for each layer of the Faster R-CNN and the backbone network is vgg16 . The estimated time is calculated using the theoretical performance model, and the actual time is on the Faster R-CNN-vgg16 design.The hardware configure parameters is P Y n c = 14 , P M c u = 16 , P Z v e c = 8 .

Article Snippet: Faster R-CNN (vgg16) [ ] , - , 32(float) , Xilinx ZC706 , - , - , - , 200 MHz , 875 , - , - , 1.167.

Techniques: Comparison

Comparison with the state-of-the-art object detection FPGA accelerators.

Journal: Entropy

Article Title: An OpenCL-Based FPGA Accelerator for Faster R-CNN

doi: 10.3390/e24101346

Figure Lengend Snippet: Comparison with the state-of-the-art object detection FPGA accelerators.

Article Snippet: Faster R-CNN (vgg16) [ ] , - , 32(float) , Xilinx ZC706 , - , - , - , 200 MHz , 875 , - , - , 1.167.

Techniques: Comparison

Comparison with the baseline GPU imlpementation.

Journal: Entropy

Article Title: An OpenCL-Based FPGA Accelerator for Faster R-CNN

doi: 10.3390/e24101346

Figure Lengend Snippet: Comparison with the baseline GPU imlpementation.

Article Snippet: Faster R-CNN (vgg16) [ ] , - , 32(float) , Xilinx ZC706 , - , - , - , 200 MHz , 875 , - , - , 1.167.

Techniques: Comparison

Chronological order of applications and developments of AI for facial fracture detection reviewed in this study.

Journal: Frontiers in Artificial Intelligence

Article Title: A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging

doi: 10.3389/frai.2023.1278529

Figure Lengend Snippet: Chronological order of applications and developments of AI for facial fracture detection reviewed in this study.

Article Snippet: In the context of adult head injuries, an approach for the detection of skull fractures was developed, building upon the Faster R-CNN framework (Kuang et al., ).

Techniques:

Selected Publications.

Journal: International Journal of Environmental Research and Public Health

Article Title: Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature Review

doi: 10.3390/ijerph182010765

Figure Lengend Snippet: Selected Publications.

Article Snippet: S108 , [ ] , Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment , Face mask detection using YOLOv3 and faster R-CNN models , Multimed Tools Appl , 2021.

Techniques: Infection, Transmission Assay, Control, Activity Assay, Isolation, Biomarker Discovery, Modification, Virus, Environmental Monitoring, Filtration, Diffusion-based Assay, Multiplex Assay, Extraction, Software, Purification, Imaging, Diagnostic Assay, Nanopore Sequencing, Bacteria, Vaccines, Preserving

Computer vision applications in damage identification.

Journal: Sensors (Basel, Switzerland)

Article Title: Computer Vision-Based Construction Process Sensing for Cyber–Physical Systems: A Review

doi: 10.3390/s21165468

Figure Lengend Snippet: Computer vision applications in damage identification.

Article Snippet: [ ] , Faster-R-CNN (Baidu API)/AHP and grey clustering evaluation for comprehensive risk assessment , Comprehensive risk assessment and safety prewarning , Workers, equipment and materials , Case study , 2020.

Techniques:

Computer vision applications in safety management.

Journal: Sensors (Basel, Switzerland)

Article Title: Computer Vision-Based Construction Process Sensing for Cyber–Physical Systems: A Review

doi: 10.3390/s21165468

Figure Lengend Snippet: Computer vision applications in safety management.

Article Snippet: [ ] , Faster-R-CNN (Baidu API)/AHP and grey clustering evaluation for comprehensive risk assessment , Comprehensive risk assessment and safety prewarning , Workers, equipment and materials , Case study , 2020.

Techniques: