Issues
- 0
batchsize大小设置问题
#35 opened by BigKing992 - 1
关于不能复现msmt17相关指标的问题
#34 opened by hongyan-an - 5
Why is the performance of the model trained with multi GPUs much better than that of the model trained with single GPU in this method?
#16 opened by HongweiZhang97 - 2
- 2
cm模块中的backward代码好像没有起作用
#32 opened by rrjia - 0
在使用nocam sampler 的情况下,batchsize越大结果反而越低
#33 opened by zsszyx - 1
为啥msmt17的指标sota都只有20多呢?
#26 opened by xmy0916 - 6
PersonX 数据集上mAP只有36.0左右
#20 opened by jinx-USTC - 1
- 2
Why the result cannot be reproduced?
#23 opened by tengxiao14 - 1
Why this paper is not accepted...
#30 opened by dyhBUPT - 4
- 1
- 0
- 4
关于Memory Initialization的一点问题
#15 opened by xmy0916 - 0
Different methods in memory update
#24 opened by SuperbTUM - 2
实验多次复现结果不同的问题
#7 opened by hu-zheng - 1
- 2
Sorry that we didn't not provides the CM_hard command in readme.md. I will update it.
#11 opened by jinx-USTC - 0
why don't use pseudo_labeled=-1 ?
#21 opened by henrysun1996 - 1
I downloaded the trained model you released, but only market and Dukle. Can you publish the model trained on VeRi?
#18 opened by lbl123456 - 8
Can't reproduce MSMT17 results
#14 opened by hu-zheng - 0
- 4
关于use hard的问题
#17 opened by xmy0916 - 7
i see in the experiment you only train in batch 256,different from that in method like spcl,and is the good result get by larger batchsize?
#12 opened by linwang123456 - 1
learning with sourcedomain?
#9 opened by talentCODE - 4
Question about memory updating in q_hard
#2 opened by nightwork23 - 1
Parameter configuration for Duke and MSMT17 dataset, as well as memory initialization
#5 opened by Terminator8758 - 1
why the cluster_loader uses test data augmentation mode instead of training mode?
#8 opened by knaffe - 3
faiss:gpu out of memory
#4 opened by CompliceU - 1
- 2
question about the ablation studies
#1 opened by hjwang-824 - 2
有没有可视化的例子呢?
#3 opened by opentld