Pose Estimation Models

Stacked Hourglass Network

Introduced by Newell et al. in Stacked Hourglass Networks for Human Pose Estimation

Stacked Hourglass Networks are a type of convolutional neural network for pose estimation. They are based on the successive steps of pooling and upsampling that are done to produce a final set of predictions.

Source: Stacked Hourglass Networks for Human Pose Estimation

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Object Detection 9 16.36%
Pose Estimation 8 14.55%
Test 4 7.27%
Semantic Segmentation 2 3.64%
Multi-Task Learning 2 3.64%
Multi-Person Pose Estimation 2 3.64%
Stereo Matching 2 3.64%
Stereo Matching Hand 2 3.64%
Table Detection 1 1.82%

Categories