MPANet
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Rank-1 Train result are stuck at 66%
I have tried multiple trainings with MPANet But it is consistently getting about 66% of Rank-1 in single shot and all mode of sysu dataset
Is there any method to reproduce the Rank-1 accuracy(70.58%) that is written in your MPANet paper?
by the way this is my environment settings torch == 1.13.0 torchvision == 0.14.0 ignite == 1.1.0 apex == 0.1
the problem from ignite. I use ignite==0.4.9
In the later version, the ignite changes how the number of training iterations is calculated. And it leads to less training.