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MODEL ZOO

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!