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Is it possible to perform transfer learning and only update the weights in the Class+Box subnets? In other words, is it possible to prevent gradients from flowing back to the FPN/Feature extractor?
Thanks in advance
The text was updated successfully, but these errors were encountered:
Is it possible to perform transfer learning and only update the weights in the Class+Box subnets? In other words, is it possible to prevent gradients from flowing back to the FPN/Feature extractor?
Thanks in advance
The text was updated successfully, but these errors were encountered: