Hey, great paper! I just have a couple of questions that I have not been able to find answers to.
"Ensembling the results from joint-PoseConv3D and limbPoseConv3D (namely PoseConv3D (J + L)) can lead to
noticeable and consistent performance improvement."
What method of ensembling did you use?
Did you experiment with populating the 3D heat map volumnes with both the joint and limb information? That is a 3D J+L heat map volumn?
In the context of RGBPoseConv3D which skeletal information modality did you use e.g. joint or limb? Did you experiment with fusing (J+L) skeletal model with RGB model? What mechanism of late fusion did you use e.g. concatenation, averaging, linear layer?
Hey, great paper! I just have a couple of questions that I have not been able to find answers to.
"Ensembling the results from joint-PoseConv3D and limbPoseConv3D (namely PoseConv3D (J + L)) can lead to noticeable and consistent performance improvement."
In the context of RGBPoseConv3D which skeletal information modality did you use e.g. joint or limb? Did you experiment with fusing (J+L) skeletal model with RGB model? What mechanism of late fusion did you use e.g. concatenation, averaging, linear layer?