ML Research Wiki / Benchmarks / Multi-Person Pose Estimation / OCHuman

OCHuman

Multi-Person Pose Estimation Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: AP50

Top Performing Models

Rank Model Paper AP50 Date Code
1 MIPNet (gt-bb) Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation 89.70 2021-01-27 📦 rawalkhirodkar/MIPNet
2 I²R-Net (1st stage:TransPose-H) I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation 85.00 2022-06-22 📦 leijue222/Intra-and-Inter-Human-Relation-Network-for-MPEE
3 TransPose-H TransPose: Keypoint Localization via Transformer 82.70 2020-12-28 📦 yangsenius/TransPose
4 HRFormer-B HRFormer: High-Resolution Transformer for Dense Prediction 81.40 2021-10-18 📦 HRNet/HRFormer
5 SPM Single-Stage Multi-Person Pose Machines 67.50 2019-08-24 📦 murdockhou/Single-Stage-Multi-person-Pose-Machines
6 CrowdPose CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark 40.80 2018-12-02 📦 open-mmlab/mmpose 📦 jeffffffli/CrowdPose 📦 Jeff-sjtu/CrowdPose 📦 laowang666888/ECSP1
7 SimplePose Simple Baselines for Human Pose Estimation and Tracking 37.40 2018-04-17 📦 PaddlePaddle/PaddleDetection 📦 open-mmlab/mmpose 📦 osmr/imgclsmob
8 Mask R-CNN Mask R-CNN 33.20 2017-03-20 📦 tensorflow/models 📦 facebookresearch/detectron2 📦 facebookresearch/detectron

All Papers (8)

Mask R-CNN

2017
Mask R-CNN