Hey.
I’m using faster-rcnn for custom object detection.
If the network results in bad classification (the bounding box is classified correctly with a right category but has a low probability or the bounding box is not classified correctly)  but not so bad detection (it finds most of the correct bounding boxes plus some incorrect ones) can I freeze all the network except for last classifier stage and train only it or it’s more complex than that?
Thanks.