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I looked at into your code in the above image, but I think it is different to your paper explanation.
I thought your algorithm was dividing the bbox in horizontally into several parts, and feeding each part into convolution layer which output 2048-dim. Then, calculating cosine similarity between gallery and probe persons.
But I can't find the part where it divides into partition, it seems it is feeding the whole bbox. Am I correct? or did I misunderstood..
Thanks in advance.
The text was updated successfully, but these errors were encountered:
Hi, Thanks for the great work.!
I have some questions.
I looked at into your code in the above image, but I think it is different to your paper explanation.
I thought your algorithm was dividing the bbox in horizontally into several parts, and feeding each part into convolution layer which output 2048-dim. Then, calculating cosine similarity between gallery and probe persons.
But I can't find the part where it divides into partition, it seems it is feeding the whole bbox. Am I correct? or did I misunderstood..
Thanks in advance.
The text was updated successfully, but these errors were encountered: