HyperAI

Multi Person Pose Estimation On Coco Test Dev

Métriques

AP
APL
APM

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif
Nom du modèleAPAPLAPM
greedy-offset-guided-keypoint-grouping-for65.668.863.3
single-stage-multi-person-pose-machines66.973.162.6
scalenas-one-shot-learning-of-scale-aware71.677.267.5
simple-pose-rethinking-and-improving-a-bottom68.170.566.8
how-to-train-your-robust-human-pose-estimator73.7--
realtime-multi-person-2d-pose-estimation61.868.257.1
how-to-train-your-robust-human-pose-estimator76.2--
personlab-person-pose-estimation-and-instance68.775.564.1
bottom-up-higher-resolution-networks-for70.575.866.6
towards-accurate-multi-person-pose-estimation64.970.062.3
rmpe-regional-multi-person-pose-estimation61.867.658.6
multi-person-pose-regression-via-pose70.277.265.9
self-constrained-inference-optimization-on79.284.274.1
how-to-train-your-robust-human-pose-estimator78.7--
attend-to-who-you-are-supervising-self-166.5--