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Share Your Experience: Take the 2024 Developer Survey
5 votes
Accepted

Is there an argument against using the (reviewed) predictions of a model as ground truth to further train exactly this model?

Using the (unchecked) predictions of the model as training data is an approach known as "pseudo-labeling". It can help in certain situations, depending on the underlying structure of your ...
R.M.'s user avatar
  • 308
4 votes

How does the region proposal method work in Fast R-CNN?

Yes, it is not specified because the region proposal algorithm did not change from R-CNN (the previous version from Fast R-CNN, however, in the next verion, Faster R-CNN, this algorithm is replaced by ...
JVGD's user avatar
  • 1,138
4 votes

Is there an argument against using the (reviewed) predictions of a model as ground truth to further train exactly this model?

The answer is: It depends. What you describe is a strategy often used to save time and costs for labelling data. It is important that the data you have already labelled (the 20%) is representative of ...
emely_pi's user avatar
  • 277
1 vote
Accepted

Confusion about faster RCNN neither object nor background label

There is no label for such bounding boxes, they are simply "ignored" during training. You can assign any value for their "labels", then multiplying what ever loss these boxes ...
Son Nguyen's user avatar

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