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SPPF-AMP

Amplified Spatial Pyramid Pooling Fast

2000년 도입 · 논문 1편에서 사용

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.

출처: Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules

소개 논문: Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules

Object Detection Models · Computer Vision