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about loss function

Open cuongdxk57 opened this issue 5 years ago • 1 comments

i am confused about loss function in the paper, when estimated character bounding boxes is low mean the accuracy of model is bad, confidence score is low and the loss is low too. 0_MwnYwgkbZc2Onnd0

cuongdxk57 avatar Oct 17 '19 02:10 cuongdxk57

When you predict too less char the value computed as: image will high. And the confidence score they want it approximately 1 because when it is 1 that mean weakly suplearning is good for task split word to char.

uname0x96 avatar Oct 17 '19 16:10 uname0x96