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Keypoint Detection on MS COCO 2017 (test-dev)

79.2APRSN
51.84858.94966.0573.151Nov 20, 2017Apr 3, 2018Aug 15, 2018Dec 27, 2018May 10, 2019Sep 21, 2019Feb 3, 2020

Evaluation results

MethodLinks
RSNBackbone=4xRSN-50, Input size=384 × 288, External data=false, Ensemble=true2020.0279.294.487.176.183.884.1————
CCMBackbone=HRNet-w48, Input size=384 × 288, External data=true, Ensemble=true2020.0278.993.8867584.583.6————
RSNBackbone=4xRSN-50, #Params=111.8M, GFLOPS=65.9, Input size=384 × 288, External data=false, Ensemble=false2020.0278.694.386.675.583.383.8————
MSPNBackbone=4xResNet-50, Input size=384 × 288, External data=true, Ensemble=true2020.0278.194.185.974.583.383.1————
CCMBackbone=HRNet-w48, #Params=63.7M, GFLOPS=36.6, Input size=384 × 288, External data=true, Ensemble=false2020.027893.485.17483.683————
DARKBackbone=HRNet-w48, #Params=63.6M, GFLOPS=32.9, Input size=384 × 288, External data=true, Ensemble=false2020.0277.492.684.673.683.782.3————
CCMBackbone=ResNet-152, #Params=63.5M, GFLOPS=40.1, Input size=384 × 288, External data=true, Ensemble=false2020.0277.39384.873.383.182.3————
MSPNBackbone=4xResNet-50, #Params=71.9M, GFLOPS=58.7, Input size=384 × 288, External data=true, Ensemble=false2020.0277.193.884.673.482.382.3————
HRNetBackbone=HRNet-w48, #Params=63.6M, GFLOPS=35.4, Input size=384 × 288, External data=true, Ensemble=false2020.027792.784.573.483.182————
CCMBackbone=HRNet-w48, #Params=63.7M, GFLOPS=36.6, Input size=384 × 288, External data=false, Ensemble=false2020.0276.692.884.172.682.481.7————
BaselineBackbone=ResNet-152, Input size=384 × 288, External data=true, Ensemble=true2020.0276.592.4847382.781.5————
DARKBackbone=HRNet-w48, #Params=63.6M, GFLOPS=32.9, Input size=384 × 288, External data=false, Ensemble=false2020.0276.292.583.672.582.481.1————
MSPNBackbone=4xResNet-50, #Params=71.9M, GFLOPS=58.7, Input size=384 × 288, External data=false, Ensemble=false2020.0276.193.483.872.381.581.6————
CCMBackbone=ResNet-152, #Params=63.5M, GFLOPS=40.1, Input size=384 × 288, External data=false, Ensemble=false2020.0275.892.783.471.881.580.9————
HRNet-W48*Backbone=HRNet-W48, Pretrain=true, Train Input=384x288, Test Input=384x2882019.1175.5——71.981.580.595.7———
HRNetBackbone=HRNet-w48, #Params=63.6M, GFLOPS=35.4, Input size=384 × 288, External data=false, Ensemble=false2020.0275.592.583.371.981.580.5————
BaselineBackbone=ResNet-152, #Params=68.6M, GFLOPS=35.9, Input size=384 × 288, External data=false, Ensemble=false2020.0273.791.981.170.38079————
CPN+backbone=ResNet-Inception [36], ensembled=true2017.117391.780.969.578.17995.185.974.884.7
CPNBackbone=ResNet-Inception, Input size=384 × 288, External data=false, Ensemble=true2020.027391.780.969.578.179————
RMPEBackbone=Hourglass, #Params=28.1M, GFLOPS=36.7, Input size=320 × 256, External data=false, Ensemble=false2020.0272.389.279.16878.6—————
CPNbackbone=ResNet-Inception [36], ensembled=false2017.1172.191.48068.777.278.595.185.374.284.3
CPN*Backbone=ResNet-Inception, Pretrain=true, Train Input=384x288, Test Input=384x2882019.1172.1——68.777.278.595.1———
CPNBackbone=ResNet-Inception, Input size=384 × 288, External data=false, Ensemble=false2020.0272.191.48068.777.278.5————
G-RMIextra data=true2017.1168.587.175.565.873.373.390.179.568.180.4
G-RMIBackbone=ResNet-101, #Params=42.6M, GFLOPS=57, Input size=353 × 257, External data=true, Ensemble=false2020.0268.587.175.565.873.373.3————
Ours-4 (final), w/ FLBackbone=4-stage IMHN plus, Pretrain=false, Train Input=512x512, Test Input=~512^2, Refine=false2019.1168.1——66.870.572.188.2———
PersonLab*Backbone=ResNet-101, Pretrain=true, Train Input=801x801, Test Input=~1401^2, Refine=false2019.1167.8——6374.874.592.2———
Ours-5, w/ FLBackbone=4-stage IMHN plus, Pretrain=false, Train Input=512x512, Test Input=~384^2, Refine=false2019.1167.6——64.572.671.387.6———
PifPaf*Backbone=ResNet-152, Pretrain=true, Train Input=401x401, Test Input=~641^2, Refine=false2019.1166.7——62.472.972.290.9———
Ours-3, w/ FLBackbone=4-stage IMHN, Pretrain=false, Train Input=384x384, Test Input=~384^2, Refine=false2019.1166.2——66.466.671.288.6———
Associative Embedding2017.1165.586.872.360.672.670.289.57664.678.1
AE*Backbone=4-stage Hourglass, Pretrain=false, Train Input=512x512, Test Input=~512^2, Refine=true2019.1165.5——60.672.670.289.5———
Ours-2, w/ FLBackbone=3-stage IMHN, Pretrain=false, Train Input=384x384, Test Input=~384^2, Refine=false2019.1165.2——63.768.569.887.7———
G-RMIextra data=false2017.1164.985.571.362.37069.788.775.564.477.1
PifPafBackbone=ResNet-101, Pretrain=true, Train Input=401x401, Test Input=~641^2, Refine=false2019.1164.9——60.671.270.390.2———
G-RMI*Backbone=ResNet-101, Pretrain=true, Train Input=353x257, Test Input=353x2572019.1164.9——62.37069.788.7———
G-RMIBackbone=ResNet-101, #Params=42.6M, GFLOPS=57, Input size=353 × 257, External data=false, Ensemble=false2020.0264.985.571.362.37069.7————
Mask-RCNN2017.1163.187.368.757.871.4—————
Mask-RCNNBackbone=ResNet-50, External data=false, Ensemble=false2020.0263.187.368.757.871.4—————
CMU-Pose2017.1161.884.967.557.168.266.587.271.860.674.6
CMU-Pose*Backbone=6-stage CMU-Net, Pretrain=false, Train Input=368x368, Test Input=~368^2, Refine=true2019.1161.8——57.168.266.587.2———
Ours-1, w/ FLBackbone=3-stage CMU-Net, Pretrain=false, Train Input=368x368, Test Input=~368^2, Refine=false2019.1159.3——56.263.863.584.6———
CMU-Pose (baseline)Backbone=6-stage CMU-Net, Pretrain=false, Train Input=368x368, Test Input=~368^2, Refine=false2019.1152.9——50.957.25779.2———