Multi Person Pose Estimation On Coco Minival

Results

Performance results of various models on this benchmark

		Paper Title
HRNet-W48plus	79.1	AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation
HRNet-W32	77.8	AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation
ResNet50	75.3	AID: Pushing the Performance Boundary of Human Pose Estimation with Information Dropping Augmentation
InsPose	63.1	InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation

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