Object Detection Models
Amplified Spatial Pyramid Pooling Fast
Introduced by Jooshin et al. in Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modulesIn 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.
Source: Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
