Does people train object detection methods with early stopping and what were their settings?

Question

I'm working on some stuff related to object detection methods (YOLOv3, Faster-RCNN, RetinaNet, ... ) and I need to train on VOC2007 and VOC2012 (using pretrained models of course). However when I read the relevant papers I do not see people describe if they trained using early stopping or just fixed number of iterations. And if they used early stopping, how many steps were set before stopping ? Because when I tried 100 steps before stopping, it got really poor results . Please help me, thank you very much.

Answer 1

I found an implementation of the PASCAL VOC2012 dataset trained for semantic segmentation that uses the following early stopping parameters:

earlyStopping = EarlyStopping(
    monitor='val_loss', patience=30, verbose=2, mode='auto')