Open WormCoder opened 5 years ago
See definition of SigmoidBinaryCE: https://mxnet.incubator.apache.org/api/python/gluon/loss.html?highlight=sigmoid#mxnet.gluon.loss.SigmoidBinaryCrossEntropyLoss
tldr; CrossEntropy != multi class softmax cross entropy
https://github.com/dmlc/gluon-cv/blob/9669d728d17715586765a9f2b1886fc054e1d6ed/gluoncv/loss.py#L224
In yolov3's paper, the author claimed that mse loss was adopted for box regression. And as far as I know cross entropy loss is for classification problems, so why cross entropy loss is used here?