Comments (3)
Hi,
Due to the concate operation in our network, the obtained matches are expected to differ when reversing img order. However, statistically the result should make very little differences.
from sgmnet.
can you eliminate the differences?
from sgmnet.
As a workaround, you may run the network twice for both img orders and find the intersection set, as is done for some neural outlier rejector(filtering based methods)
from sgmnet.
Related Issues (13)
- A request for a setting of SGMNet+SP HOT 6
- Hi! Could you provide more details on the dataset for training ? HOT 3
- Could you please provide more guidance on reproducing Aachen for SIFT? HOT 6
- Hi! Could you provide more details on the dataset for training ? HOT 4
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- currenttly, batch-size =1, i don not the sgmnet that can set batch-size = 2,( batch-size=2, it means that use 4 img) matching
- How many epochs did you use for training?
- CPU support
- Why use 'step-start_step' in train_step func
- Descriptor HOT 1
- Can not find hdf5 file HOT 1
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from sgmnet.