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  license: openrail
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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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