Convolutional Neural Networks

CornerNet-Squeeze Hourglass

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

CornerNet-Squeeze Hourglass is a convolutional neural network and object detection backbone used in the CornerNet-Squeeze object detector. It uses a modified hourglass module that makes use of a fire module: containing 1x1 convolutions and depthwise convolutions.

Source: CornerNet-Lite: Efficient Keypoint Based Object Detection

Papers


Paper Code Results Date Stars

Tasks


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

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