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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3077499
Abstract: Video monitoring is an important means to ensure production safety in coal mine. However, the currently intelligent video surveillance is difficult to respond in real-time due to the latency of cloud computing. In this paper,…
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Keywords:
video;
real time;
yolo;
cloud ... See more keywords
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2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192034
Abstract: Lung cancer is the most prevalent and deadly oncological disease in the world, but a timely detection of lung nodules can greatly improve the survival rate of this disease. However, due to the tiny size…
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Keywords:
yolo;
stbi yolo;
lung;
object detection ... See more keywords
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1
Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3176141
Abstract: It has been observed that the existing convolutional neural network (CNN)-based ship detection models often result in high false detection rate in low-resolution optical satellite images. This problem arises from the following factors: 1) the…
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Keywords:
low resolution;
satellite;
yolo;
resolution ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3219468
Abstract: The automatic detection of foreign objects between platform screen doors (PSDs) and metro train doors significantly affects personnel and property safety and maintains the train’s normal operation. However, some existing works only determine the presence…
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Keywords:
information;
yolo former;
foreign object;
yolo ... See more keywords
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Published in 2018 at "Journal of Advanced Transportation"
DOI: 10.1155/2018/7075814
Abstract: Vehicle detection is expected to be robust and efficient in various scenes. We propose a multivehicle detection method, which consists of YOLO under the Darknet framework. We also improve the YOLO-voc structure according to the…
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Keywords:
traffic;
detection;
vehicle;
flow state ... See more keywords
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2
Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.927424
Abstract: Apple leaf diseases seriously damage the yield and quality of apples. Current apple leaf disease diagnosis methods primarily rely on human visual inspection, which often results in low efficiency and insufficient accuracy. Many computer vision…
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Keywords:
network;
disease;
yolo;
apple ... See more keywords
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Published in 2021 at "Symmetry"
DOI: 10.3390/sym13010026
Abstract: Video pornography and nudity detection aim to detect and classify people in videos into nude or normal for censorship purposes. Recent literature has demonstrated pornography detection utilising the convolutional neural network (CNN) to extract features…
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Keywords:
detection;
pornography;
nude regions;
attention ... See more keywords