Hi everyone, I have a trained DINO-5scale model on my custom dataset and I want to infer on it.
But when I upscale all of the images to 2x, I notice that the AP score drop heavily. My dataset contains mainly people and vehicles from a camera. In contrast, I did the same upscaling with YOLOv5 or Faster-RCNN and observed the higher AP score when upscaling.
I think that it is due to the nature of Transformer-based model, but I'm not sure about that.
So why that happens? Thank you.
Hi everyone, I have a trained DINO-5scale model on my custom dataset and I want to infer on it.
But when I upscale all of the images to 2x, I notice that the AP score drop heavily. My dataset contains mainly people and vehicles from a camera. In contrast, I did the same upscaling with YOLOv5 or Faster-RCNN and observed the higher AP score when upscaling. I think that it is due to the nature of Transformer-based model, but I'm not sure about that. So why that happens? Thank you.