When detecting a closed-eye portrait, the model still seems to inference according to the open-eye relationship. The landmarks of eyes is too big, Two examples are like this:
May I ask, is the model overconfident about the eye-open keypoint interrelationships. If the number of closed-eye portraits in the dataset is increased, in principle do you think this problem can be solved?
When detecting a closed-eye portrait, the model still seems to inference according to the open-eye relationship. The landmarks of eyes is too big, Two examples are like this:
May I ask, is the model overconfident about the eye-open keypoint interrelationships. If the number of closed-eye portraits in the dataset is increased, in principle do you think this problem can be solved?
thank u very much!