Comments (5)
d_ap小于d_an不是正常的吗
from person-reid-triplet-loss-baseline.
我的d_ap以及d_an逐渐减小,然后d_ap一直大于d_an,不知道为什么
from person-reid-triplet-loss-baseline.
d_ap小于d_an不是正常的吗
我理解的是这样的:d_ap是应该小于d_an,但是训练过程中,感觉d_ap应该是越来越小才对,但现在在增大,虽然它的值还是小于d_an的。
from person-reid-triplet-loss-baseline.
我的d_ap以及d_an逐渐减小,然后d_ap一直大于d_an,不知道为什么
你这个情况也好奇怪啊,我的都是增大的?
from person-reid-triplet-loss-baseline.
我这边的训练集是文中提供的三个合并集进行训练,分别用Market1501,CUHK03,DukeMTMC-reID三个集去验证模型的map只有16.19, 11.178, 18.85,与文中相差很大,(参数与文中保持一致)
不知是我训练有错 或者 作者的指标是分别训练验证的
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Related Issues (20)
- How can I refer your model in my paper HOT 1
- the different with open-reid HOT 1
- 关于一个epoch中的step数目 HOT 2
- Performance is worse than yours
- Error: when i try to run train.py (no module named tri_loss. dataset ) HOT 1
- except Exception, msg: SyntaxError: invalid syntax
- 为什么triloss用的是MarginRankingLoss而不是TripletMarginLoss
- dist_mat[is_pos].contiguous().view(N, -1), 1, keepdim=True) seems wrong HOT 1
- dist_mat[is_pos].contiguous().view(N, -1), 1, keepdim=True) HOT 2
- 关于实现和paper的区别,请指点一下 HOT 5
- 你好,您的cuda和cudnn选的是什么版本呢 HOT 1
- cannot reproduce from pre-trained model on martket 1501 stride 1 HOT 3
- 关于实验性能请教 HOT 1
- Rank 1, 5, 10 are high, but mAP is low HOT 1
- 损失函数是不是可以更直接呢 HOT 2
- how to save my im_paths and features? HOT 1
- Hi how to train your code with different pre-trained models HOT 4
- 热图
- hard triplet convergence
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