The trick in the process of REID pedestrian re-identification training

1 warm up: The first ten epochs learn to increase linearly first, and then to maintain, at 20 and 40 epochs, the learning rate decays to 0.1

2 Random erasure of data

3 label smooth, make a change to the cross entropy

4 Set the last downsampling and convolution step size of resnet50 to 1

5 When using triplet and ID loss, the features sent to triplet loss are passed through a BN layer, and then sent to ID Loss. In this BN layer, bias is reset to zero and not used

6 加center loss