Congested crowd instance localization with dilated convolutional swin transformer

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Gao, Junyu, et al. “Congested Crowd Instance Localization With Dilated Convolutional Swin Transformer”. Neurocomputing, vol. 513, 2022, pp. 94-103, https://doi.org/10.1016/j.neucom.2022.09.113.
Gao, J., Gong, M., & Li, X. (2022). Congested crowd instance localization with dilated convolutional swin transformer. Neurocomputing, 513, 94-103. https://doi.org/10.1016/j.neucom.2022.09.113
Gao, Junyu, Maoguo Gong, and Xuelong Li. “Congested Crowd Instance Localization With Dilated Convolutional Swin Transformer”. Neurocomputing 513 (2022): 94-103. https://doi.org/10.1016/j.neucom.2022.09.113.
Gao J, Gong M, Li X. Congested crowd instance localization with dilated convolutional swin transformer. Neurocomputing. 2022;513:94-103.
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Crowd event detection on optical flow manifolds IEEE Transactions on Cybernetics
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Citations
Title Journal Journal Categories Citations Publication Date
Focus for Free in Density-Based Counting International Journal of Computer Vision
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 2024
Self-attention Guidance Based Crowd Localization and Counting Machine Intelligence Research
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SoybeanNet: Transformer-based convolutional neural network for soybean pod counting from Unmanned Aerial Vehicle (UAV) images Computers and Electronics in Agriculture
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 2024
SSIR: Spatial shuffle multi-head self-attention for Single Image Super-Resolution Pattern Recognition
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science15
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics11
Technology: Engineering (General). Civil engineering (General)8
Technology: Mechanical engineering and machinery8
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks7
Science: Science (General): Cybernetics: Information theory4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Agriculture: Agriculture (General)1
Agriculture: Plant culture1
Medicine1
Science1
Science: Science (General)1
Technology: Electrical engineering. Electronics. Nuclear engineering1
Science: Physics1
Science: Physics: Optics. Light1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 15 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Transformer-based progressive residual network for single image dehazing and was published in 2022. The most recent citation comes from a 2024 study titled SoybeanNet: Transformer-based convolutional neural network for soybean pod counting from Unmanned Aerial Vehicle (UAV) images. This article reached its peak citation in 2024, with 10 citations. It has been cited in 15 different journals, 26% of which are open access. Among related journals, the Pattern Recognition cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year