FixRes
FixRes
**FixRes** is an image scaling strategy that seeks to optimize classifier performance. It is motivated by the observation that data augmentations induce a significant discrepancy between the size of the objects seen by the classifier at train and test time: in fact, a lower train resolution improves the classification at test time! FixRes is a simple strategy to optimize the classifier performance, that employs different train and test resolutions. The calibrations are: (a) calibrating the object sizes by adjusting the crop size and (b) adjusting statistics before spatial pooling.
Fixing the train-test resolution discrepancy
https://paperswithcode.com/paper/fixing-the-train-test-resolution-discrepancy
Fixing the train-test resolution discrepancy