The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

CVPR 2020 Junjie HuangZheng ZhuFeng GuoGuan Huang

Recently, the leading performance of human pose estimation is dominated by top-down methods. Being a fundamental component in training and inference, data processing has not been systematically considered in pose estimation community, to the best of our knowledge... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Pose Estimation COCO test-dev HRNet-W48+UDP AP 76.5 # 3
AP50 92.7 # 1
AP75 84 # 3
APL 73.0 # 7
APM 82.4 # 1
AR 81.6 # 3

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet