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CoinCheung
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pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
MIT License
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should use log_probs in affinity loss
#41
eliqbiq
opened
1 month ago
1
hard triplet conergence
#40
ffredd
opened
2 years ago
0
installation failed
#39
mosheliv
opened
2 years ago
3
“THC/THC.h”: No such file or directory
#38
cop123123
opened
2 years ago
5
remove THC.h
#37
zyddnys
closed
2 years ago
1
fatal error: THC/THC.h: No such file or directory
#36
zyddnys
closed
2 years ago
2
some question in rankloss
#35
nijiazhi
closed
2 years ago
5
class balanced loss?
#34
2533245542
opened
2 years ago
1
partial_fc_amsoftmax memory leak
#33
tianxingyzxq
closed
2 years ago
5
Regularizing Neural Networks by Penalizing Confident Output Distribution
#32
eakirtas
closed
2 years ago
4
Amazing work!
#31
anxiangsir
closed
2 years ago
1
LabelSmoothSoftmaxCEV1, LabelSmoothSoftmaxCEV2, LabelSmoothSoftmaxCEV3
#30
quanweiliu
closed
2 years ago
3
Question about Multi-class focal loss
#29
DingYuan0118
closed
2 years ago
4
fatal error: math.h: No such file or directory
#28
snakers4
opened
3 years ago
2
your focal loss is wrong? it seems little different with others, can you explain your code?
#27
Jack-zz-ze
closed
2 years ago
8
Calculation about focal loss
#26
BinsonW
closed
3 years ago
1
哪一个损失函数最好用,损失函数类中里面又不带参数?
#25
jingzhengli
closed
3 years ago
1
TPU support
#24
talhaanwarch
closed
3 years ago
1
use of TO_REMOVE in GIOU loss
#23
souvik3333
closed
3 years ago
1
there is some problems in the file of focal_loss.py
#22
OliviaDdy
closed
3 years ago
4
LovaszSoftmax Loss test case not working
#21
omerferhatt
closed
3 years ago
4
如何调用tripletloss?
#20
392398741nm
closed
3 years ago
1
The probability caculation of negative class in 'Label smooth.py'
#19
kaijieshi7
opened
3 years ago
0
feature request: dice loss support multi-class classification ?
#18
feng-1985
closed
3 years ago
1
new feature request: dice loss
#17
feng-1985
closed
3 years ago
0
请问am-softmax可以用在多分类任务上么,比如网络结构最后一层输出分类是7,那amsoftmax()中的参数填啥,第一个in_feats应该填7,第二个num_class也填7,这应该不对,不知道怎么使用,请教了
#16
wbb95
closed
3 years ago
2
Any plan to give a tutorial?
#15
seanzhuh
closed
3 years ago
1
need cuda for installing on MacOs
#14
reymondzzzz
closed
3 years ago
1
where is the mish_cpp?
#13
hhl0202
closed
3 years ago
3
I want to use FocalLossV1,but has the error that your loss has no attribute to backward().
#12
hanna6666
closed
3 years ago
5
use on multi-label 3D medical image segmentation task?
#11
xwjBupt
closed
3 years ago
2
BCEWithLogitsLoss has combined a Sigmoid layer and the BCELoss in one single class, But why to use torch.sigmoid again
#10
sunpeng981712364
closed
3 years ago
1
关于triplet loss
#9
AnnaXiong
closed
4 years ago
3
do buffered params in EMA need to be updated?
#8
DietDietDiet
closed
3 years ago
1
Regarding Generalized IOU Loss
#7
samyak0210
closed
4 years ago
2
dual focal loss
#6
damhurmuller
closed
4 years ago
7
AM-softmax implement details
#5
sweetTT
closed
4 years ago
2
about smooth label
#4
mk123qwe
closed
4 years ago
1
How do I design my loss fuction like smoothL1?
#3
kelisiya
closed
3 years ago
8
What does ignore_lb = 255 do?
#2
wusaifei
closed
4 years ago
1
The purpose of lb_ignore in LabelSmoothSoftmaxCE?
#1
LightToYang
closed
4 years ago
2