correlation between model size and small object detection

[ohjunee]

It's just an academic question. I still know that small object detection is a very challenging area in the computer vision area.

Is it advantageous to have a shallower depth of the model for small object detection? For small objects, I think the deeper the depth, the more features of the model disappear.