Closed skbhat closed 2 years ago
Namaste,
$y^{cls}_c$ is just what you assumed, and it is from the dataset annotation. For example, if there is some objects that belong to the 3-rd class and the 5-th class. The original annotation may be [2,4], and the corresponding $y^{cls}$ is a one-hot vector [0,0,1,0,1].
Best regards, Tianning Yuan.
Namaste,
I would like to know how $y_c^{cls}$ is computed for an image. It is not described in the paper. I assume that if an object belonging to category $c$ exists in the image then $y_c^{cls}=1$, else $y_c^{cls}=0$. Is that correct?
thanks and regards Srikrishna.