KovenYu / MAR

Pytorch code for our CVPR'19 (oral) work: Unsupervised person re-identification by soft multilabel learning
https://kovenyu.com/publication/2019-cvpr-mar/
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loss target could not decrease #36

Open jjn037 opened 4 years ago

jjn037 commented 4 years ago

==>>[2020-06-17 00:02:37] [Epoch=199/200] Stage 1, [Need: 00:03:45] Iter: [000/220] Freq 130.8 loss_source 0.000 loss_st 0.169 loss_target 0.304 loss_total 1.993 [2020-06-17 00:02:40] Iter: [100/220] Freq 360.5 loss_source 0.000 loss_st 0.163 loss_target 0.299 loss_total 1.928 [2020-06-17 00:04:20] Iter: [200/220] Freq 363.8 loss_source 0.000 loss_st 0.163 loss_target 0.302 loss_total 1.934 [2020-06-17 00:06:00] Train loss_source 0.000 loss_st 0.163 loss_target 0.301 loss_total 1.934

i try my data with this code but could not get great performance, and my data have a great gap between source data and target data, so i remove loss ml.