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I have a question about pretraining the basenet on imagenet
your base network has 4 channel input (h x w x 4(rgb-guassian)),
but it should be 3 channels when pretraining the imagenet (imagenet data only has rgb and extreme points is not necessary to classify task)
how did you do it?
thank you for your help in advance!
The text was updated successfully, but these errors were encountered:
The network was indeed pre-trained on Imagenet using 3 channels.
We artificially added a fourth channel to train DEXTR, and initialized its weights from Imagenet.
Please take a look at this part of the code.
Hi, thank you for nice work!
I have a question about pretraining the basenet on imagenet
your base network has 4 channel input (h x w x 4(rgb-guassian)),
but it should be 3 channels when pretraining the imagenet (imagenet data only has rgb and extreme points is not necessary to classify task)
how did you do it?
thank you for your help in advance!
The text was updated successfully, but these errors were encountered: