mAP on 12bit is only 0.3269
I used all the pre-training models and data you provided to test. But on 12 bits, the mAP is only 0.3269. Why is the result so different from that of the paper?

We will look into this and get back to you. Will be busy this whole week. Please expect a delayed response.
@Vijetha1 Thank you for your help. I've been waiting for your reply. Have you found the reason for the problem?
Hi Chen, trying to replicate this issue. Will update you asap.
Hi Chen, I was not able to replicate the issue nor the set-up due to the lack of support for Theano. Instead, I recreated the code with Tensorflow backend and it is working as expected. Please verify now.
Thank you very much for your patient answer. I'll try again.
Hi, were you able to verify this?
HI ,I cannot find the dataset and pretrain weight ,can you help me?
@ximi2018 Can you download the dataset and weight? I cannot download them. Could you tell me how to deal with it?
@mengliu1991 sorry,I cannot get them
@mengliu1991 @ximi2018 Maybe you need a VPN. The link provided by the author is still available for download.
@chenshen03 Hi, Have you test the L3 loss+L4 loss case, i.e., using the similarity matrix to train the model? I change the model into the binary tag-vector model, but I cannot obtain the result reported in the paper.