Pretrained models of our method MultiAugs

Title: Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training

Paper link: waiting to come ...

Code link: https://github.com/hnuzhy/MultiAugs

COCO1K / COCO5K / COCO10K

trained on partly labeled (1k, 5k or 10k) COCO train-set and left unlabeled COCO train-set

• ResNet-18 (256x192, COCO1K, 30 epochs)
• ResNet-18 (256x192, COCO5K, 70 epochs)
• ResNet-18 (256x192, COCO10K, 100 epochs)

COCOall + COCOunlabel

trained on labeled COCO train-set and unlabeled COCO unlabeled-set

• ResNet-50 (256x192, 400 epochs)
• ResNet-101 (256x192, 400 epochs)
• HRNet-W48 (384x288, 400 epochs)

MPII + AIC

trained on labeled MPII train-set and unlabeled AIC train-set

• HRNet-W32 (256x256, 400 epochs)