Comments (1)
We have tested this variant, as mentioned in our paper (section 3.2):
MCA variants like the symmetric architectures GA(X,Y)-GA(Y,X) and SGA(X,Y)-SGA(Y,X). However, these MCA variants do not report comparative performance, so we do not discuss them further due to space limitations.
Since this is quite easy to reimplement, you can try it yourself, and if you obtain different observations, please let us know.
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Related Issues (20)
- net.train() not called again after evaluation finishes HOT 2
- the problem about result jons file HOT 2
- VQA CPv2 HOT 1
- linear fusion model HOT 1
- Visualizations of the learned attention maps HOT 1
- How to use pretrained models HOT 1
- improved results in val set but decrease results in online evaluation HOT 1
- Features' file loading in the code HOT 1
- How did you create "npz" files from tsv files HOT 1
- single question test HOT 3
- box is xyxy or xywh? HOT 1
- Can I run code with CPU? HOT 1
- mcan_encoder_decoder
- Why does the answer dictionary need to be filtered with less than 8 occurrences HOT 1
- test-dev or test-std HOT 1
- Co-Attention? HOT 1
- Why our reproduced accuracy is so much higher than in the paper. HOT 1
- About initialize the GloVe HOT 1
- help!
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