Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation | | 79.2 | 84.2 | 74.1 | 93.5 | 85.8 | 81.6 | | SCIO (HRNet-48) | 2022-07-06 |
AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation | ✓ Link | 78.7 | | | | | | | HRNet-W48plus | 2020-08-17 |
AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation | ✓ Link | 76.2 | | | | | | | HRNet-W32 | 2020-08-17 |
AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation | ✓ Link | 73.7 | | | | | | | ResNet50 | 2020-08-17 |
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition | | 71.6 | 77.2 | 67.5 | 90.3 | 78.2 | 76.0 | 92.3 | HigherHRNet (ScaleNet_P4) | 2020-11-30 |
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation | ✓ Link | 70.5 | 75.8 | 66.6 | 89.3 | 77.2 | | | HigherHRNet (HR-Net-48) | 2019-08-27 |
SMPR: Single-Stage Multi-Person Pose Regression | ✓ Link | 70.2 | 77.2 | 65.9 | 89.7 | 77.5 | | | SMPR (HR-Net-32) | 2020-06-28 |
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model | ✓ Link | 68.7 | 75.5 | 64.1 | 89.0 | 75.4 | | | PersonLab | 2018-03-22 |
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation | ✓ Link | 68.1 | 70.5 | 66.8 | | | 72.1 | 88.2 | Identity Mapping Hourglass | 2019-11-24 |
Single-Stage Multi-Person Pose Machines | ✓ Link | 66.9 | 73.1 | 62.6 | 88.5 | 72.9 | | | SPM | 2019-08-24 |
Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association | ✓ Link | 66.5 | | | | | | | Supervising Self-Attention | 2021-11-25 |
Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation | ✓ Link | 65.6 | 68.8 | 63.3 | | | | | Hourglass-104 | 2021-07-07 |
Towards Accurate Multi-person Pose Estimation in the Wild | | 64.9 | 70.0 | 62.3 | 85.5 | 71.3 | | | G-RMI | 2017-01-06 |
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields | ✓ Link | 61.8 | 68.2 | 57.1 | 84.9 | 67.5 | | | CMU-Pose | 2016-11-24 |
RMPE: Regional Multi-person Pose Estimation | ✓ Link | 61.8 | 67.6 | 58.6 | 83.7 | 69.8 | | | RMPE | 2016-12-01 |