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license: openrail
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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)**