CornerNet-Squeeze Hourglass Module is an image model block used in CornerNet-Lite that is based on an hourglass module, but uses modified fire modules instead of residual blocks. Other than replacing the residual blocks, further modifications include: reducing the maximum feature map resolution of the hourglass modules by adding one more downsampling layer before the hourglass modules, removing one downsampling layer in each hourglass module, replacing the 3 × 3 filters with 1 x 1 filters in the prediction modules of CornerNet, and finally replacing the nearest neighbor upsampling in the hourglass network with transpose convolution with a 4 × 4 kernel.
Source: CornerNet-Lite: Efficient Keypoint Based Object DetectionPaper | Code | Results | Date | Stars |
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