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Human Keypoint Detection on COCO

78.9APCCM
61.11665.73370.3574.967Feb 3, 2020Dec 11, 2020Oct 19, 2021Aug 27, 2022Jul 5, 2023May 12, 2024Mar 21, 2025

Evaluation results

MethodLinks
CCMCategory=Top down, Backbone=ResNet-152, HRNet-w48, Decoder=CCM, Extra Data=true, Post-processing=sub-pixel refinement2020.0278.9——————
SOTA (TD)Paradigm=Top-Down, Flipping test=true2023.1078.6——————
Li et al. (2019)Category=Top down, Backbone=4 x ResNet-50, Decoder=GlobalNet, Extra Data=false, Post-processing=flip/GF/sub-pixel shift2020.0278.1——————
HRFormer2022.1277.2——————
Sun et al. (2019)Category=Top down, Backbone=HRNet-w48, Decoder=1x1 conv, Extra Data=false, Post-processing=flip/sub-pixel shift2020.0277——————
X-Pose-T (E2E)Backbone=Swin-L, Prompt Type=Textual2023.1076.8——————
X-Pose-V (E2E)Backbone=Swin-L, Prompt Type=Visual2023.1076.6——————
Xiao et al. (2018)Category=Top down, Backbone=ResNet-152, Decoder=deconv, Extra Data=false, Post-processing=flip/sub-pixel shift2020.0276.5——————
HRNet2022.1276.3——————
X-Pose-T (E2E)Backbone=Swin-T, Prompt Type=Textual2023.1074.4——————
X-Pose-V (E2E)Backbone=Swin-T, Prompt Type=Visual2023.1074.3——————
Chen et al. (2018b)Category=Top down, Backbone=ResNet-Inception, Decoder=GlobalNet, Extra Data=false, Post-processing=flip/GF2020.0272.1——————
PainterBackbone=ViT-L2022.1272.1——————
Papandreou et al. (2018)Category=Top down, Backbone=ResNet-101, Decoder=1x1 conv, Extra Data=false, Post-processing=offset regression2020.0268.5——————
Pix2Seq v2Training Setup=single task, Resolution=640x6402022.0668——————
Pix2Seq v2Training Setup=single task, Resolution=1024x10242022.0667.4——————
Mask R-CNN (non-local)2022.0666.5——————
DeCon-ML-LPret. Dataset=COCO, Backbone=ResNet-50, Pret. Dec.=FPN2025.0365.88——————
DeCon-SLPret. Dataset=COCO, Backbone=ResNet-50, Pret. Dec.=FCN2025.0365.77——————
SlotCon (2022)Pret. Dataset=COCO, Backbone=ResNet-50, Pret. Dec.=-2025.0365.66——————
DeCon-ML-SPret. Dataset=COCO, Backbone=ResNet-50, Pret. Dec.=FPN2025.0365.66——————
Newell et al. (2017)Category=Bottom-up, Backbone=Hourglass, Decoder=-, Extra Data=false, Post-processing=multiscale average2020.0265.5——————
Pix2Seq v2Training Setup=multi-tasks, Resolution=640x6402022.0665——————
Pix2Seq v2Training Setup=multi-tasks, Resolution=1024x10242022.0664.8——————
Pix2Seq v2Backbone=ViT-B2022.1264.8——————
Random init.Pret. Dataset=-, Backbone=ResNet-50, Pret. Dec.=-2025.0363.92——————
Fang et al. (2017)Category=Top down, Backbone=STN+Hourglass, Decoder=-, Extra Data=false, Post-processing=parametric NMS2020.0263.3——————
He et al. (2017)Category=Top down, Backbone=ResNet-50-FPN, Decoder=conv+deconv, Extra Data=false, Post-processing=offset regression2020.0263.1——————
Mask R-CNN2022.0663.1——————
Cao et al. (2017)Category=Bottom-up, Backbone=VGG-19, Decoder=multi-stage CNN, Extra Data=false, Post-processing=-2020.0261.8——————
CLIFF#Params=78.89, FPS=22.422024.06—33.2——49.361.472.5
DaNet#Params=102.25, FPS=11.952024.06—19.8——36.252.665.2
FastMetro#Params=153.74, FPS=16.042024.06—13.6——2839.353.2
Graphormer#Params=226.21, FPS=14.422024.06—12——25.735.949.5
HybrIK#Params=75.69, FPS=7.572024.06—10.6——24.931.747.5
JCLFramework=Keypoint R-CNN, Backbone=ResNet-50, FPN=true, Finetuning schedule=1x, Pre-training epochs=2002021.12—66.287.272.3———
MeshPoseBackbone=HRNet32, #Params=46.29, FPS=28.662024.06—47.3——61.371.279.6
MeshPoseSBackbone=ResNet50, #Params=45.37, FPS=124.282024.06—43.8——58.16776.5
MeshPoseXSBackbone=MBNet140, #Params=21.25, FPS=124.212024.06—40.6——55.263.673.9
Metro#Params=243.07, FPS=15.472024.06—9.5——22.430.445.1
MoCo-v1Framework=Keypoint R-CNN, Backbone=ResNet-50, FPN=true, Finetuning schedule=1x, Pre-training epochs=2002021.12—65.687.171.3———
MoCo-v2Framework=Keypoint R-CNN, Backbone=ResNet-50, FPN=true, Finetuning schedule=1x, Pre-training epochs=2002021.12—6687.271.4———
NIKI#Params=92.17, FPS=6.182024.06—21.3——37.248.561.5
PARE#Params=32.86, FPS=20.482024.06—33.2——48.156.967.2
PointHMR#Params=59.09, FPS=15.382024.06—17.7——32.744.457.3
PyMaf#Params=45.18, FPS=35.572024.06—23——40.45870
randomFramework=Keypoint R-CNN, Backbone=ResNet-50, FPN=true, Finetuning schedule=1x, Pre-training epochs=02021.12—63.585.369.3———
supervisedFramework=Keypoint R-CNN, Backbone=ResNet-50, FPN=true, Finetuning schedule=1x, Pre-training epochs=N/A2021.12—65.48771———
SwAVFramework=Keypoint R-CNN, Backbone=ResNet-50, FPN=true, Finetuning schedule=1x, Pre-training epochs=2002021.12—65.686.971.6———
SwAV+UOTAFramework=Keypoint R-CNN, Backbone=ResNet-50, FPN=true, Finetuning schedule=1x, Pre-training epochs=2002021.12—66.387.472.3———