Hello, thanks for your excellent work.
I try to use contrastive learning in revelant object detection tasks (e.g. semi-supervised object detection), and I write my contrastive loss code by referering your implementation.
I find that the value of contrastive loss in my task is not descending, which is always floating around a value.
Have you or everyone encountered similar situation and how did you solve it?
Furthermore, could you please tell me that how does your contrastive loss converge?
Hello, thanks for your excellent work. I try to use contrastive learning in revelant object detection tasks (e.g. semi-supervised object detection), and I write my contrastive loss code by referering your implementation. I find that the value of contrastive loss in my task is not descending, which is always floating around a value. Have you or everyone encountered similar situation and how did you solve it? Furthermore, could you please tell me that how does your contrastive loss converge?