MODEL_ZOO.md

MODEL ZOO

MSCOCO dataset

Model	Backbone	Detector	Input Size	AP	Speed	Download	Config	Training Log
Simple Baseline	ResNet50	YOLOv3	256x192	70.6	2.94 iter/s	model	cfg	log
Fast Pose	ResNet50	YOLOv3	256x192	72.0	3.54 iter/s	model	cfg	log
Fast Pose (DUC)	ResNet50 - unshuffle	YOLOv3	256x192	72.4	2.91 iter/s	model	cfg	log
HRNet	HRNet-W32	YOLOv3	256x192	72.5	2.13 iter/s	model	cfg	log
Fast Pose (DCN)	ResNet50 - dcn	YOLOv3	256x192	72.8	2.94 iter/s	model	cfg	log
Fast Pose (DUC)	ResNet152	YOLOv3	256x192	73.3	1.62 iter/s	model	cfg	log

Notes

• All models are trained on keypoint train 2017 images which contains at least one human with keypoint annotations (64115 images).
• The evaluation is done on COCO keypoint val 2017 (5000 images).
• Flip test is used by default.
• One TITAN XP is used for speed test, with batch_size=64 in each iteration.
• Offline human detection results are used in speed test.
• FastPose is our own network design. Paper coming soon!

Halpe dataset (26 keypoints)

Model	Backbone	Detector	Input Size	AP	Speed	Download	Config	Training Log
Fast Pose	ResNet50	YOLOv3	256x192	69.0	3.54 iter/s	Google Baidu	cfg	log

Notes

• More models coming soon!

Halpe dataset (136 keypoints)

Model	Backbone	Detector	Input Size	AP	Speed	Download	Config	Training Log
Fast Pose	ResNet50	YOLOv3	256x192	69.0	3.54 iter/s	Google Baidu	cfg	log

Notes

• Coming soon!