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kevinlin311tw / Caffe-DeepBinaryCode

Supervised Semantics-preserving Deep Hashing (TPAMI18)
https://arxiv.org/abs/1507.00101v2
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the weight of loss function #23

Open yeqq123 opened 6 years ago

yeqq123 commented 6 years ago

Hi, kevin I understand the weight of classification error is in your paper(formula (2)) and the weight of binarization similarity in your paper(formula (7)) is different. So I can't understand what the W stand for in your paper(formula (8)) thx.

kevinlin311tw commented 6 years ago

W is the network parameters. BTW, this repo does not support multi-label version.

yeqq123 commented 6 years ago

And I can't find the file which contain the loss function, can you indicate the file's name? Thx.

ximi2018 commented 4 years ago

Have you found the loss function