Qidian213/Ranked_Person_ReID

How to reproduce your best result?

Xiangyu-CAS opened this issue · 3 comments

Hi, I was trying to reproduce your best result (mAP=88.7%) by simply runing

python tools/train.py --config_file='configs/softmax_ranked.yml' DATASETS.NAMES "('market1501')" 

but I got a much worse result at mAP=86.5%, with 2% margin to claimed result. Moreover, it's even lower than using triplet loss. What I can do to get your claimed result?

model mAP loss
r50-ibn-a(my result) 87.1% softmax + triplet
r50-ibn-a(my result) 86.5% softmax + ranked
r50-ibn-a(your result) 88.7% softmax + ranked

Thank you!

Did you change training paramters ?
There are some exp result, you can refer (Resnet50_ibn_a).
Try more epoch ?

`

w r T DukeMTMC-ReID Market1501
mAP rank1 mAP rank1
0.2 0.7 1.0 80.2 90.1
0.4 0.7 1.0 80.8 90.9
0.6 0.7 1.0 80.6 90.2

w r T DukeMTMC-ReID Market1501
mAP rank1 mAP rank1
0.4 0.6 1.0 80.3 90.6
0.4 0.7 1.0 80.8 90.9
0.4 0.8 1.0 80.8 90.4

w r T DukeMTMC-ReID Market1501
mAP rank1 mAP rank1
0.4 0.7 0.5 80.4 90.6
0.4 0.7 1.0 80.8 90.9
0.4 0.7 5.0 80.3 90.6

`

I used your RankedListLoss for car196 dateset but i can't reproduce the results. the loss is increasing with every epoch. any thoughts?

O@_@$Y6D%_LO(12G_9J6@QD
Hello, what is the meaning of these hyperparameters?
Looking forward to your reply!thank you