First of all,thank you for your work,it helps a lot,but I have a question:
In the article,you mentioned "Integrating GDIP with Yolo in this fashion ensures that our architecture doesn’t require any additional loss formulation and uses Yolo’s standard object detection loss [37] (referred to as Lobj) to train the network for object detection end-to-end."
I do not understand why additional loss is not required,looking forward to your reply,thank you!
First of all,thank you for your work,it helps a lot,but I have a question:
In the article,you mentioned "Integrating GDIP with Yolo in this fashion ensures that our architecture doesn’t require any additional loss formulation and uses Yolo’s standard object detection loss [37] (referred to as Lobj) to train the network for object detection end-to-end."
I do not understand why additional loss is not required,looking forward to your reply,thank you!