Object Detection Models
Amplified Cross-Stage Partial Block
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 concept, we use an Inception layer after a convolutional layer with a kernel size of 1, and then, after performing batch normalization and the SILU activation function, we concatenate the output of this layer with the input of the bottleneck and pass it to the next layer. Moreover, in the other branch of C3-AMP, after performing a convolutional layer, a max pooling layer is employed, and then after concatenating the output of this layer with the output of bottleneck series, another convolutional layer with a kernel size of 1 is utilized.
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 |
