Comments (1)
We've provided the pretrained model in the Readme.
from ste-nvan.
Related Issues (20)
- training on Two GPUs, get the results cmc=87.5, map=33.1. ??? HOT 2
- runtimeerror:Expected object of scalar type Bool but got scalar type Byte for argument #2 'other' in call to _th_xor HOT 2
- Cannot reproduce the ideal accuracy of NVAN HOT 1
- counting FLOPs HOT 2
- Duke training script HOT 1
- Why choose non_layers=[0, 2, 3, 0] and stripes=[16, 16, 16, 16] as your baseline implementation? HOT 3
- DukeMTMC-videoReID dataset preprocess HOT 1
- the problem is here HOT 3
- Evaluate on Duke-Video datasets HOT 2
- another problem is here. HOT 1
- 随机种子问题 HOT 1
- About Trip loss
- About trained model.
- Get R1=90.00% and mAP=82.79%. HOT 4
- Anybody get the paper's result? Rank1 90%. HOT 5
- Some questions in reproducing the result of NVAN network HOT 5
- Counfusion with position of non-local block HOT 2
- DukeMTMC-videoreid dataset HOT 1
- how to get more rank results? HOT 1
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from ste-nvan.