mmpose/configs/face_2d_keypoint/topdown_heatmap

Top-down heatmap-based pose estimation

Top-down methods divide the task into two stages: object detection, followed by single-object pose estimation given object bounding boxes. Instead of estimating keypoint coordinates directly, the pose estimator will produce heatmaps which represent the likelihood of being a keypoint, following the paradigm introduced in Simple Baselines for Human Pose Estimation and Tracking.

Results and Models

300W Dataset

Results on 300W dataset

Model	Input Size	NMEcommon	NMEchallenge	NMEfull	NMEtest	Details and Download
HRNetv2-w18	256x256	2.92	5.64	3.45	4.10	hrnetv2_300w.md

AFLW Dataset

Results on AFLW dataset

Model	Input Size	NMEfull	NMEfrontal	Details and Download
HRNetv2-w18+Dark	256x256	1.35	1.19	hrnetv2_dark_aflw.md
HRNetv2-w18	256x256	1.41	1.27	hrnetv2_aflw.md

COCO-WholeBody-Face Dataset

Results on COCO-WholeBody-Face val set

Model	Input Size	NME	Details and Download
HRNetv2-w18+Dark	256x256	0.0513	hrnetv2_dark_coco_wholebody_face.md
SCNet-50	256x256	0.0567	scnet_coco_wholebody_face.md
HRNetv2-w18	256x256	0.0569	hrnetv2_coco_wholebody_face.md
ResNet-50	256x256	0.0582	resnet_coco_wholebody_face.md
HourglassNet	256x256	0.0587	hourglass_coco_wholebody_face.md
MobileNet-v2	256x256	0.0611	mobilenetv2_coco_wholebody_face.md

COFW Dataset

Results on COFW dataset

Model	Input Size	NME	Details and Download
HRNetv2-w18	256x256	3.48	hrnetv2_cofw.md

WFLW Dataset

Results on WFLW dataset

Model	Input Size	NMEtest	NMEpose	NMEillumination	NMEocclusion	NMEblur	NMEmakeup	NMEexpression	Details and Download
HRNetv2-w18+Dark	256x256	3.98	6.98	3.96	4.78	4.56	3.89	4.29	hrnetv2_dark_wflw.md
HRNetv2-w18+AWing	256x256	4.02	6.94	3.97	4.78	4.59	3.87	4.28	hrnetv2_awing_wflw.md
HRNetv2-w18	256x256	4.06	6.97	3.99	4.83	4.58	3.94	4.33	hrnetv2_wflw.md