the cross dataset test problem about dbcnn

[zwx8981]

@Z9RO Hi, actually you can directly train the model using original labels. For your example, LIVE uses DMOS (higher means worse quality) while TID2013 uses MOS (higher means better quality), you can simply train on LIVE with DMOS. When you test on TID2013, you can simply compute the absolute value of SRCC and PLCC as the final results.

[Z9RO]

Thanks, but I found the range of those datasets' value is different, LIVE is about [0,100], and TID2013 is about [0,10]. Do you have the exact range of those datasets? (I search the Internet and still don't find LIVEMD's and LIVEChallenge's)

[zwx8981]

@Z9RO I normalize subjective quality scores in all datasets into the same range for convenience. The range of both LIVEMD and LIVEChallenge are [0,100]

[Z9RO]

Thanks, it's very useful to me