Results 21 to 30 of about 79,319 (254)
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
doaj +1 more source
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
openaire +4 more sources
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
doaj +1 more source
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
doaj +1 more source
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.
P, Sarath +4 more
openaire +2 more sources
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
openaire +1 more source
Mask R-CNN for Geospatial Object Detection [PDF]
International Journal of Information Technology and Computer Science, 2020 Geospatial imaging technique has opened a door for researchers to implement multiple beneficial applications in many fields, including military investigation, disaster relief, and urban traffic control. As the resolution of geospatial images has increased in recent years, the detection of geospatial objects has attracted a lot of researchers.
Dalal AL-Alimi +3 more
openaire +1 more source
Predicting Future Instance Segmentation by Forecasting Convolutional Features [PDF]
, 2018 Anticipating future events is an important prerequisite towards intelligent behavior. Video forecasting has been studied as a proxy task towards this goal.
A Yang +7 more
core +4 more sources
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
doaj +1 more source
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Accepted in CVPR ...
Huang, Zhaojin +4 more
openaire +2 more sources