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license: openrail |
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Pretrained models of our method **MultiAugs** |
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Title: *Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training* |
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Paper link: waiting to come ... |
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Code link: https://github.com/hnuzhy/MultiAugs |
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**COCO1K / COCO5K / COCO10K** |
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*trained on `partly labeled (1k, 5k or 10k) COCO train-set` and `left unlabeled COCO train-set`* |
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* **ResNet-18 (256x192, COCO1K, 30 epochs)** |
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* **ResNet-18 (256x192, COCO5K, 70 epochs)** |
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* **ResNet-18 (256x192, COCO10K, 100 epochs)** |
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**COCOall + COCOunlabel** |
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*trained on `labeled COCO train-set` and `unlabeled COCO unlabeled-set`* |
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* **ResNet-50 (256x192, 400 epochs)** |
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* **ResNet-101 (256x192, 400 epochs)** |
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* **HRNet-W48 (384x288, 400 epochs)** |
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**MPII + AIC** |
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*trained on `labeled MPII train-set` and `unlabeled AIC train-set`* |
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* **HRNet-W32 (256x256, 400 epochs)** |
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