Results 91 to 100 of about 487,056 (216)
Car Detection from Low-Altitude UAV Imagery with the Faster R-CNN
Journal of Advanced Transportation, 2017 UAV based traffic monitoring holds distinct advantages over traditional traffic sensors, such as loop detectors, as UAVs have higher mobility, wider field of view, and less impact on the observed traffic.
Yongzheng Xu +4 more
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Generalized Quantization of Faster R-CNN
The 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. Quantization is a proven method for reducing models' size and computational requirements, but there is currently ...
Tamás Menyhárt, Róbert Lakatos
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Blurring of Brands with Faster R-CNN
, 2021 This paper focuses on techniques of blurring advertising objects in video with deep learning. The projectdesigned and implemented a system that blurs the advertising content of the video with deep learningmethods. Faster R-CNN was used as a deep learning method for detecting and recognizing objects. Manyproblems were encountered in this study.
Güler, Derya +1 more
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Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion
IEEE Access, 2019 In this paper, a method for detecting rapid rice disease based on FCM-KM and Faster R-CNN fusion is proposed to address various problems with the rice disease images, such as noise, blurred image edge, large background interference and low detection ...
Guoxiong Zhou +4 more
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Image Captioning Using Topic Faster R-CNN-LSTM Networks
InformationImage captioning is an important task in cross-modal research in numerous applications. Image captioning aims to capture the semantic content of an image and express it in a linguistically and contextually appropriate sentence.
Jui-Feng Yeh +2 more
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Facial Expression Recognition with Faster R-CNN
Procedia Computer Science, 2017 In order to avoid the complex explicit feature extraction process and the problem of low-level data operation involved in traditional facial expression recognition, we proposed a method of Faster R-CNN (Faster Regions with Convolutional Neural Network Features) for facial expression recognition in this paper.
Jiaxing Li +7 more
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Results in EngineeringWith the development of artificial intelligence technology and Unmanned Aerial Vehicle (UAV) technology, the traditional UAV target detection methods are difficult to achieve high detection accuracy in complex and changeable scenes.
Gengyan Cui, Li Zhang
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Improving Faster R‐CNN Framework for Fast Vehicle Detection [PDF]
Mathematical Problems in Engineering, 2019 Vision‐based vehicle detection plays an important role in intelligent transportation systems. With the fast development of deep convolutional neural networks (CNNs), vision‐based vehicle detection approaches have achieved significant improvements compared to traditional approaches.
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Faster R- CNN Using MRI : Cerebrovascular Diseases
international journal of engineering technology and management sciencesCerebrovascular diseases such as stroke are among the most common causes of death and disabilityworldwide. Stroke is a severe condition that requires prompt diagnosis and treatment to preventdisastrous consequences. In this piece of work, we present a unique approach to detect brain strokeusing Deep Learning techniques.
null B. Rajakumari +2 more
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Applied SciencesGraphical user interfaces (GUIs) hold an irreplaceable position in modern software and applications. Users can interact through them. Due to different terminal devices, there are sometimes display errors, such as component occlusion, image loss, text ...
Xi Pan +3 more
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