Image Model Blocks

CornerNet-Squeeze Hourglass Module

Introduced by Law et al. in CornerNet-Lite: Efficient Keypoint Based Object Detection

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 Detection


Paper Code Results Date Stars


Task Papers Share
Object Detection 1 50.00%
Real-Time Object Detection 1 50.00%