triplet-reid-pytorch
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Large Gap in results across different trainings
Hi, I used your code and changed the stride to 2 for faster computation. I ran the training three times and got the following results in different runs: Run1: mAP 74.2, cmc1: 86.1 Run2: mAP 64.7 cmc1: 80.5 Run3: mAP 75.2 cmc1: 87.5
As you see, in the second run the map and cmc1 dropped by large amount. I am not sure what is the reason for this. Do you think this is because of the random erasing being used? Have you also observed a large variation in results across different trainings?
Regards