Methods › Computer Vision › Object Detection Models › SPPF-AMP
Amplified Spatial Pyramid Pooling Fast
SPPF-AMP
Introduced by Hadi Khodaei Jooshin et al. in Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
In our proposed model, SPPF-AMP, besides passing the output of the convolutional layer from a sequence of max pooling layers with kernel sizes of 5, it is also passed through two average pooling layers with kernel sizes of 9 and 13. Then the output of each max pooling layer, each average pooling layer, and the convolutional layer are concatenated and passed to the next convolutional layer.
Papers archive 2025-07-28
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Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules 11 Mar 2024 · 0 repositories
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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