finger-monkey / Data-Augmentation

Code for paper : An Effective Data Augmentation for Person Re-identification. By providing this code, you can simply verify the validity of the method proposed in the paper.
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How to use GGT and LGT for cross-domain evaluation? #7

Closed liyuke65535 closed 8 months ago

liyuke65535 commented 2 years ago

In “Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method”, Table 4 and 6 show that GGT and LGT help the cross-domain task. What's your ratio of GGT? How many images turn into grayscale in training?

liyuke65535 commented 2 years ago

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finger-monkey commented 8 months ago

I'm sorry for the delayed response; I haven't checked my Gmail inbox for a while. Cross-domain testing involves training a model M using the proposed methods on the Market1501 dataset, and then testing the model using dataset Duke with model A. This experiment is relatively easy to implement, and you can try using the baselines mentioned in the paper. All of these are discussed in the paper.