2022
DOI: 10.1016/j.neunet.2021.10.010
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Zenithal isotropic object counting by localization using adversarial training

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Cited by 7 publications
(5 citation statements)
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“…We adopt the methodology presented in [45] as our supervised baseline. This approach seeks to achieve count and localization of objects by dividing the problem into two primary stages.…”
Section: Supervised Baseline Modelmentioning
confidence: 99%
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“…We adopt the methodology presented in [45] as our supervised baseline. This approach seeks to achieve count and localization of objects by dividing the problem into two primary stages.…”
Section: Supervised Baseline Modelmentioning
confidence: 99%
“…The following sections provide a more comprehensive understanding of the baseline method and the modifications we have made to it. For a thorough overview of the method, we direct the reader to the original publication [45].…”
Section: Supervised Baseline Modelmentioning
confidence: 99%
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“…Rodriguez-Vazquez, et al [21] performed object calculations using the CNN and Laplacian of Gaussian object detection methods. The results showed that the position of the detected object could be mapped well to support the object calculation process.…”
Section: Object Countingmentioning
confidence: 99%