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Very impressive paper and code. Could you share the code and practice for the object detection part. I am keen to learn how detection part is linked with unsupervised classification part.
Thanks
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I am also interested in this part.
How do you compute the similarity of two proposals?
And how does the network learn the proposals' coordinates and sizes if you don't have labels? Is the object detection network end to end?
Hi Zhirong:
Thanks
The text was updated successfully, but these errors were encountered: