issues
search
YirongMao
/
softmax_variants
PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
252
stars
49
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Why is LGMLoss `margin_logits` is equivalent eq.17
#9
Chen-Dixi
opened
2 years ago
0
LGM loss训练时出现loss为负值
#8
liuge1008
opened
3 years ago
0
ValueError: optimizer got an empty empty parameter list
#7
liuge1008
closed
3 years ago
0
In class LGMLoss(nn.Module), which is the implementation of the original paper the covariance was considered as identity matrix instead of a diagonal matrix
#6
kalyanainala
opened
4 years ago
0
loss.data[0] gives an error instead use loss.item()
#5
kalyanainala
closed
3 years ago
0
How to understand the centers shown in the LMCL_loss?
#4
taylover-pei
opened
5 years ago
1
can you implement the affinity-loss
#3
ray-lee-94
closed
5 years ago
2
what is feat_dim in LGMLOSS_v0,How can I set it
#2
AnnaRose0226
opened
5 years ago
2
Margin in LMCL loss might have some problems.
#1
ZhangXLaurence
closed
6 years ago
1