How do you calculate the final accuracy? If you have 8 steps with one glimpse, do you only consider last step as final prediction for accuracy calculations or do you average predictions from all steps given each step can have different predictions?
@DeccanKing1 Hi, In section 3.1, the reward is defined as follows:
In the case of object recognition, for example, rT = 1 if the object is classified correctly after T steps and 0 otherwise.
How do you calculate the final accuracy? If you have 8 steps with one glimpse, do you only consider last step as final prediction for accuracy calculations or do you average predictions from all steps given each step can have different predictions?