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SSARCandy
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DeepCORAL
🧠A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016
https://ssarcandy.tw/2017/10/31/deep-coral/
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The CORAL Loss and Forbenius Norm is defined differently and the results dont match.
#21
ashlytom
opened
3 years ago
0
fix errors, now can run and give results arround 56% on target domain
#20
GlenGGG
closed
3 years ago
0
I think you have a error.
#19
typhoon1104
opened
4 years ago
2
TypeError: unsupported operand type(s) for /: 'tuple' and 'int'
#18
tjzjp
opened
5 years ago
0
CORAL loss is defined differently from the original paper
#17
DenisDsh
opened
6 years ago
9
Error in calculation of covariance matrix
#16
harshitbansal05
closed
6 years ago
1
The point of self.target_fc?
#15
georgeadam
closed
6 years ago
1
Why it's loss = loss/(4*d*4) ?
#14
jindongwang
closed
6 years ago
1
self.target_fc never used
#13
fmcarlucci
closed
6 years ago
1
Any update results like Deep CORAL paper ?
#12
deep0learning
opened
6 years ago
0
code about testing
#11
cmhungsteve
closed
6 years ago
6
A line in main.py().
#10
debasmitdas
closed
6 years ago
1
Low Accuracy for SHVN ---> MNIST
#9
deep0learning
opened
6 years ago
5
Pretrained model
#8
deep0learning
closed
6 years ago
10
The reason for setting _lambda ascending ?
#7
huster-wgm
opened
6 years ago
1
Correlation Loss
#5
redhat12345
closed
6 years ago
13
Inputs to the CORAL loss
#4
cmhungsteve
closed
6 years ago
3
Graph
#3
redhat12345
closed
6 years ago
3
Test accuracy is low than original test accuracy in the paper.
#2
redhat12345
closed
6 years ago
20
Error !!!
#1
redhat12345
closed
6 years ago
1