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leaderj1001
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Stand-Alone-Self-Attention
Implementing Stand-Alone Self-Attention in Vision Models using Pytorch
MIT License
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Stand alone self attention combine with CycleGAN
#26
Jingtianci
opened
3 years ago
0
A question about relative position embeddings
#25
787629504
opened
3 years ago
1
Add `sum(dim=2)` for dot-product
#24
jnhwkim
closed
3 years ago
1
Has anyone tried changing the batch size
#23
sammens
opened
3 years ago
1
Can anyone train resnet50 successfully without NaN
#22
ksouvik52
opened
4 years ago
3
Excessive Memory Usage
#21
digantamisra98
opened
4 years ago
14
Error loading pretrained model
#20
ylee1123
closed
4 years ago
1
Problems about groups
#19
liqi0126
opened
4 years ago
4
Add ResNet101 and ResNet152
#18
quaertym
opened
4 years ago
0
Adapting Attention Conv & Stem for a stride > 1
#17
yassouali
opened
4 years ago
0
matrix multiplication instead of scalar dot product
#16
vainaixr
opened
4 years ago
4
Train with IMAGENET
#15
fityanul
closed
3 years ago
3
how about replacing einsum with normal multiplication
#14
tntjd7545
opened
4 years ago
0
Question about einsum.
#13
veritas9872
closed
1 year ago
0
Does not work when out_channels is not even
#12
ifeherva
opened
4 years ago
0
problem with unfold
#11
vainaixr
opened
4 years ago
1
The wrong imp of the inner-product operation
#10
XiaLiPKU
opened
4 years ago
3
Is the 89% acc reported in the readme consisitent with the paper?
#9
zhaoguangxiang
opened
4 years ago
1
How to calculate the relative positional embeddings from a row offset and column offset?
#8
songkq
opened
4 years ago
3
v_out = torch.cat((v_out_h + self.rel_h, v_out_w + self.rel_w), dim=1)
#7
scutzck033
opened
4 years ago
2
Large memory consumption
#6
skmhrk1209
closed
4 years ago
2
Loss is NaN
#5
phongnhhn92
opened
4 years ago
2
How can you v_out_h + self.rel_h
#4
yt605155624
opened
4 years ago
1
2d embedding
#3
r1ckya
closed
4 years ago
1
rel_w and rel_h parameters
#2
ruslangrimov
closed
5 years ago
1
Create LICENSE
#1
leaderj1001
closed
5 years ago
0