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Concealed Object Detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 17 pages, 27 figures, Code: https://github.com/GewelsJI/SINet ...
Deng-Ping Fan +3 more
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International Journal of Advanced Research in Science, Communication and Technology, 2023 For this project, our team took 20,000 image samples from ETDs and annotated them using a Python package called PyLabel. PyLabel is an open-source Python library used to label PDFs. PyLabel can also take a trained dataset and use it for AI-aided annotations.
Dinh, Kevin +3 more
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Multiview-Learning-Based Generic Palmprint Recognition: A Literature Review
Mathematics, 2023 Palmprint recognition has been widely applied to security authentication due to its rich characteristics, i.e., local direction, wrinkle, and texture.
Shuping Zhao, Lunke Fei, Jie Wen
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IET Biometrics, 2022 Breast cancer accounts for the largest number of patients among all cancers in the world. Intervention treatment for early breast cancer can dramatically extend a woman's 5‐year survival rate.
Lilei Sun +6 more
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CGENet: A Deep Graph Model for COVID-19 Detection Based on Chest CT
Biology, 2021 Accurate and timely diagnosis of COVID-19 is indispensable to control its spread. This study proposes a novel explainable COVID-19 diagnosis system called CGENet based on graph embedding and an extreme learning machine for chest CT images. We put forward
Si-Yuan Lu +3 more
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Two‐view attention‐guided convolutional neural network for mammographic image classification
CAAI Transactions on Intelligence Technology, 2023 Deep learning has been widely used in the field of mammographic image classification owing to its superiority in automatic feature extraction. However, general deep learning models cannot achieve very satisfactory classification results on mammographic ...
Lilei Sun +6 more
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Survey of One-Stage Small Object Detection Methods in Deep Learning [PDF]
Jisuanji kexue yu tansuo, 2022 With the development of deep learning, object detection technology has gradually changed from traditional manual detection methods to deep neural network detection methods.
LI Kecen, WANG Xiaoqiang, LIN Hao, LI Leixiao, YANG Yanyan, MENG Chuang, GAO Jing
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International Journal of Advanced Research in Science, Communication and Technology, 2022 Electronic theses and dissertations (ETDs) contain valuable knowledge that can be useful in a wide range of research areas. To effectively utilize the knowledge contained in ETDs, the data first needs to be parsed and stored in an XML document. However, since most of the ETDs available on the web are presented in PDF, parsing them is a challenge to ...
Zhu, Kecheng +4 more
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Multi-Object Detection Using YOLOv7 Object Detection Algorithm on Mobile Device
Journal of Applied Engineering and Technological Science, 2023 This research discusses the importance of enhancing real-time object detection on mobile devices by introducing a new multi-object detection system that uses the quantified YOLOv7 model.
Patricia Citranegara Kusuma +1 more
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Review of 3D Object Detection for Autonomous Driving [PDF]
Jisuanji kexue, 2023 In recent years,with the rapid development of autonomous driving,3D object detection technology as the core of perception systems has received more and more attention and become a hot research direction.At the same time,the wide application of deep ...
HUO Weile, JING Tao, REN Shuang
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