Could you please give some general idea on how you perform multi-class Re-ID?
Specifically, does each class require training separately? Doesn't that require different weights for Re-ID networks for each class? It seems that you use the same Re-ID networks to extract feature for different classes (and it seems fine)...
Could you please give some general idea on how you perform multi-class Re-ID?
Specifically, does each class require training separately? Doesn't that require different weights for Re-ID networks for each class? It seems that you use the same Re-ID networks to extract feature for different classes (and it seems fine)...