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Table 2 MPJPE performance comparison on the validation and test dataset. The table shows some parts of joints in detail, however the All includes other joints (head, neck, torso, and waist). Lower value is better in this metrics

From: 3D human pose estimation model using location-maps for distorted and disconnected images by a wearable omnidirectional camera

Model

Backbone

In-scale

Out-scale

Var.

#Params

GFLOPs

Shoulders

Elbows

Wrists

Hands

All

Validation dataset

VNect

ResNet50

96 x 192

12 x 24

1.0

14.5 M

1.70

0.019

0.053

0.069

0.079

0.044

VNect

ResNet100

96 x 192

12 x 24

1.0

33.5 M

2.97

0.019

0.052

0.067

0.076

0.043

Ours

HRNet-W24

96 x 192

24 x 48

1.0

16.7 M

1.70

0.015

0.044

0.060

0.069

0.037

Ours

HRNet-W32

96 x 192

24 x 48

1.0

29.3 M

2.70

0.015

0.045

0.062

0.069

0.038

Test dataset

VNect

ResNet50

96 x 192

12 x 24

1.0

14.5 M

1.70

0.040

0.218

0.387

0.439

0.201

VNect

ResNet100

96 x 192

12 x 24

1.0

33.5 M

2.97

0.037

0.215

0.379

0.434

0.200

Ours

HRNet-W24

96 x 192

24 x 48

1.0

16.7 M

1.70

0.040

0.215

0.395

0.467

0.204

Ours

HRNet-W32

96 x 192

24 x 48

1.0

29.3 M

2.70

0.036

0.202

0.393

0.463

0.201

  1. The best performance estimations are italicized