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SOTA Multi-person Pose Estimation benchmarks and papers with code | Wizwand
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Multi-person Pose Estimation
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
CrowdPose (test)
RTMO-l
AP
83.8
202
1mo ago
COCO (test-dev)
4xRSN-50
AP
79.2
101
1mo ago
COCO 2017 (test-dev)
MSPN
AP
78.1
99
1mo ago
MPII Multi-Person full (test)
GPN
Head Joint Accuracy
92.2
47
1mo ago
OCHuman (val)
ViTPose-G
AP
92.8
40
1mo ago
PoseTrack 2017 (test)
FAMI-Pose
Total mAP
80.9
39
1mo ago
PoseTrack 2017 (val)
Our approach
mAP (Total)
83.8
39
1mo ago
PoseTrack 2018 (test)
MDPN
Ankle Joint Accuracy
76.4
19
1mo ago
COCO 2017 (mini-val)
QueryPose
AP
73.6
17
1mo ago
Multi-Person PoseTrack
PoseTrack
Head Accuracy
0.565
15
1mo ago
OCHuman (test)
I2R-Net
AP
67.8
13
1mo ago
MPII Multi-Person Pose subset of 288 images
Part Affinity Fields
Head Accuracy
93.7
13
1mo ago
PASCAL-Person-Part extended (test)
GPN
Head AP
66.9
8
1mo ago
OCHuman (val test)
HGG
AP (Val)
41.8
7
1mo ago
PoseTrack Challenge (val)
Simple Baseline (Ours)
Head mAP
81.7
6
1mo ago
COCO 2017 (val)
RTMDet-nano + RTMPose-l
Pipeline AP
74.2
4
1mo ago
PoseTrack Challenge dataset (test)
Simple Baseline (Ours)
mAP (Total)
73.9
4
1mo ago
WAF (test)
GPN
AP (Head)
93.1
4
1mo ago
Crowdpose (val)
ROMP+CAR
AP^0.5
58.6
3
1mo ago
PoseTrack Challenge Mini v1.0 (test)
Girdhar et al.
mAP (Head)
65.3
2
1mo ago
PoseTrack (test)
Pose Flow
mAP (Head)
64.7
2
1mo ago
ExLPose (LL-T)
-
AP (IoU 0.5:0.95)
-
0
1mo ago
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