you reply is :"Not exactly. The final result is the AUC by plotting all data in a curve. For more details on this, you can refer to PoseCNN. We followed the same evaluation."
I konw this " AUC of ADD-S"metric.
Maybe I haven't expressed my question clearly in last issue, let me tell it clearly:
the reported results(97.25) of "bleach cleanser'' is the the AUC by plotting all data in a curve, I know it~;
but "bleach cleanser'' exists in in data_organized/0051, 0054, 0055, 0057, that is , 4 test-sets;
I mean, if:
a. AUC of ADD-S results in 0051 is 97;
b. AUC of ADD-S results in 0054 is 96.5;
c. AUC of ADD-S results in 0055 is 97.5;
d. AUC of ADD-S results in 0057is 96.5;
then the reported results(97.25) of "bleach cleanser'' is the average of the "four AUC of ADD-S results"?
You can collect all videos' results and plot in a single curve. Then compute AUC from there. For more details about evaluation, you can refer to https://github.com/yuxng/PoseCNN
you reply is :"Not exactly. The final result is the AUC by plotting all data in a curve. For more details on this, you can refer to PoseCNN. We followed the same evaluation."
I konw this " AUC of ADD-S"metric. Maybe I haven't expressed my question clearly in last issue, let me tell it clearly:
hoping your reply~