faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks-2021-024

Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

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faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks-2021-024

Shaoqing Ren, Kaiming He, Ross Girshick, Jian SunUFTAN UNIVERSITYElectrical and Electronics Engineering2021

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This record links to the Faster R-CNN paper, which introduces region proposal networks for efficient object detection. It is suitable for testing robotics, intelligent systems, and engineering repository metadata.

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Author: Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun
Supervisor: Dr. Patricia C. Nnamdi
Faculty: Engineering
Department: Electrical and Electronics Engineering
Document type: Masters Thesis
Year: 2021
Keywords: Faster R-CNN, object detection, region proposal networks, computer vision, real time detection
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License: all_rights_reserved

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Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun (2026). faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks-2021-024 [Masters Thesis]. UFTAN UNIVERSITY. https://inrepscholar.com/uftan-university/projects/963

Source fields used: Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

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faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks-2021-024

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