An intelligent recognition system for insulator string defects based on dimension correction and optimized faster R-CNN
Sign Up to like & getrecommendations! Published in 2020 at "Electrical Engineering"
DOI: 10.1007/s00202-020-01099-z
Abstract: In this paper, an intelligent recognition system for insulator based on dimension correction and optimized faster region with convolutional neural network (R-CNN) is proposed. In the process of insulator pictures shooting, a laser radar is… read more here.
Keywords: dimension; faster cnn; correction; recognition ... See more keywords
Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-10711-8
Abstract: There are many solutions to prevent the spread of the COVID-19 virus and one of the most effective solutions is wearing a face mask. Almost everyone is wearing face masks at all times in public… read more here.
Keywords: face mask; faster cnn; yolov3 faster; face ... See more keywords
Intelligent fault detection of high voltage line based on the Faster R-CNN
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.01.072
Abstract: Abstract To realize intelligent fault detection of high voltage line, a deep convolution neural network method based on Faster R-CNN method is proposed to locate the broken insulators and bird nests. With the region proposal… read more here.
Keywords: intelligent fault; faster cnn; line; fault detection ... See more keywords
Effectiveness of traditional augmentation methods for rebar counting using UAV imagery with Faster R-CNN and YOLOv10-based transformer architectures
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-18964-1
Abstract: Accurate inspection of Reinforced Concrete (RC) structures requires precise rebar counting. Although deep-learning object detectors can extract this information from drone imagery, their effectiveness depends on large, diverse, and well-labeled datasets. Image augmentation can increase… read more here.
Keywords: faster cnn; cnn yolov10; augmentation; imagery ... See more keywords
Lightweight faster R-CNN for object detection in optical remote sensing images
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DOI: 10.1038/s41598-025-99242-y
Abstract: Various 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 demands.… read more here.
Keywords: detection; faster cnn; object detection; precision ... See more keywords
An Improved Faster R-CNN for Small Object Detection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2932731
Abstract: 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. However,… read more here.
Keywords: object detection; faster cnn; cnn small; small object ... See more keywords
Automatic Detection and Classification of Defective Areas on Metal Parts by Using Adaptive Fusion of Faster R-CNN and Shape From Shading
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3224037
Abstract: Computer vision and deep learning approaches have an important role in industrial inspection systems. Computer vision technology is essential for fast, defect-free control of products in the production line. The importance of the computer vision… read more here.
Keywords: detection classification; faster cnn; surface; shape shading ... See more keywords
Studying Forgetting in Faster R-CNN for Online Object Detection: Analysis Scenarios, Localization in the Architecture, and Mitigation
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DOI: 10.1109/access.2024.3523637
Abstract: Online Object Detection (OOD) requires learning new object categories from a stream of images, similar to an agent exploring new environments. In this context, the widely used architecture Faster R-CNN (Region Convolutional Neural Network) faces… read more here.
Keywords: architecture; faster cnn; online object; object detection ... See more keywords
A Hybrid Model for Early Melanoma Detection: Integrating YOLOv9 and Faster R-CNN for Enhanced Diagnostic Accuracy
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3587625
Abstract: Melanoma accounts for only 1% of skin cancer diagnoses yet causes the majority of skin cancer-related deaths due to its rapid progression and high metastatic potential. Early and accurate detection is crucial for improving patient… read more here.
Keywords: detection; faster cnn; melanoma; hybrid model ... See more keywords
A New Approach to Polyp Detection by Pre-Processing of Images and Enhanced Faster R-CNN
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.3036005
Abstract: Colon cancer is the third most common cancer in the world, and it is increasingly threatening people’s health. Early diagnosis is crucial to reducing the threat; however, the chance of missed polyps in today’s colonoscopy… read more here.
Keywords: faster cnn; new approach; pre processing; approach ... See more keywords
Privacy-Preserving Object Detection for Medical Images with Faster R-CNN
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2019.2946476
Abstract: In this paper, we propose a lightweight privacy-preserving Faster R-CNN framework (SecRCNN) for object detection in medical images. Faster R-CNN is one of the most outstanding deep learning models for object detection. Using SecRCNN, healthcare… read more here.
Keywords: object detection; faster cnn; detection medical; privacy preserving ... See more keywords