Results 21 to 30 of about 16,805 (257)
Advances in Materials Science and Engineering, 2021 As a common disease of concrete structure in engineering, cracks mainly lead to durability problems such as steel corrosion, rain erosion, and protection layer peeling, and then the building gets destroyed.
Yang Ding +7 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance. The method, called Mask R-CNN, extends Faster R-CNN by adding a branch for predicting an object mask in parallel with
Kaiming He +3 more
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International Research Journal of Computer Science, 2021 Object detection has an increasing amount of attention in recent years due to its wide range of applications and recent technological breakthroughs. Deep learning is the state-of-art method to perform object detection. This task is under extensive investigation in both academics and real-world applications such as security monitoring, autonomous ...
Sk Razeena Begum +2 more
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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Accepted in CVPR ...
Zhaojin Huang +4 more
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Automated Multiple Concrete Damage Detection Using Instance Segmentation Deep Learning Model
Applied Sciences, 2020 In many developed countries with a long history of urbanization, there is an increasing need for automated computer vision (CV)-based inspection to replace conventional labor-intensive visual inspection.
Byunghyun Kim, Soojin Cho
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Research on multi-object detection in driving scene of underground unmanned electric locomotive
Gong-kuang zidonghua, 2022 At present, there are some problems in the identification of stones and other small obstacles in the track during the driving of unmanned underground electric locomotive in coal mines, such as slow detection speed, low detection precision, and easy to ...
GUO Yongcun, TONG Jiale, WANG Shuang
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Indian traffic sign detection and recognition using deep learning
International Journal of Transportation Science and Technology, 2023 Traffic signs play a crucial role in managing traffic on the road, disciplining the drivers, thereby preventing injury, property damage, and fatalities. Traffic sign management with automatic detection and recognition is very much part of any Intelligent
Rajesh Kannan Megalingam +4 more
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Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images. [PDF]
Neural Comput Appl, 2023 The coronavirus (COVID-19) pandemic has a devastating impact on people's daily lives and healthcare systems. The rapid spread of this virus should be stopped by early detection of infected patients through efficient screening. Artificial intelligence techniques are used for accurate disease detection in computed tomography (CT) images.
Sahin ME, Ulutas H, Yuce E, Erkoc MF.
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Assessing Car Damage using Mask R CNN
International Journal of Engineering and Advanced Technology, 2020 Picture based vehicle protection handling is a significant region with enormous degree for mechanization. In this paper we consider the issue of vehicle harm characterization, where a portion of the classifications can be fine-granular. We investigate profound learning based procedures for this reason. At first, we attempt legitimately preparing a CNN.
Sarath P +4 more
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Object Detection Based on the GrabCut Method for Automatic Mask Generation
Micromachines, 2022 The Mask R-CNN-based object detection method is typically very time-consuming and laborious since it involves obtaining the required target object masks during training.
Hao Wu +3 more
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