CornerNet-Squeeze Hourglass Module
CornerNet-Squeeze Hourglass Module
**CornerNet-Squeeze Hourglass Module** is an image model block used in [CornerNet](https://paperswithcode.com/method/cornernet)-Lite that is based on an [hourglass module](https://paperswithcode.com/method/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](https://paperswithcode.com/method/convolution) with a 4 × 4 kernel.
CornerNet-Lite: Efficient Keypoint Based Object Detection
https://paperswithcode.com/paper/190408900
CornerNet-Lite: Efficient Keypoint Based Object Detection