CornerNet-Squeeze Hourglass Module

2000년 도입 · 논문 1편에서 사용

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.

출처: CornerNet-Lite: Efficient Keypoint Based Object Detection

소개 논문: CornerNet-Lite: Efficient Keypoint Based Object Detection