SupervisedDepthPrediction
SupervisedDepthPrediction copied to clipboard
Calculating prob in ordinal regression
Hi, thank you for the nice code. It was really nice to refer to. I am a fresh man in deep learning so if the question is dumb, please excuse me.
I am not sure but in the paper, the ord_prob is calculated as below by taking the probability of the second one.
However, from your code(class OrdinalRegressionLayer), the Order_prob is calculated with the first one.
Shouldn't 0 be 1 to take the second prob as ord_prob? Or is it that it doesn't matter much to influence the result?
Hi, thank you for the nice code. It was really nice to refer to. I am a fresh man in deep learning so if the question is dumb, please excuse me.
I am not sure but in the paper, the ord_prob is calculated as below by taking the probability of the second one.
However, from your code(class OrdinalRegressionLayer), the Order_prob is calculated with the first one.
Shouldn't 0 be 1 to take the second prob as ord_prob? Or is it that it doesn't matter much to influence the result?
I have the same question. Have you solved this problem? @g0401828t