The JDR results of each joint on the MPI-INF-3DHP dataset.
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posted on 2022-02-23, 18:30 authored by Hao Wang, Ming-hui Sun, Hao Zhang, Li-yan DongThe better results in our method are written in bold. R18 = Resnet-18, R34 = Resnet-34, M2 = Mobilenetv2.
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pose estimation tasksmade significant progresshuman joint positioningexternal residual blocksevenly distributed channels5 epochs fastermainly includes lowexperimental results showcost sample storagestructural deep networksdeep learning networks3d pose estimation3d pose dataview fusion methodpose estimation modelsestimating different jointsdiv >< pimplemented lowalso showtraining costskeleton modelingprocessing smallmm inverted residualshigher levelgenerate heatmapsfast startbetter completedapproximately 60accuracy improvement
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