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About mixtrain in DynaBOA code #37
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Hi, sorry for the misunderstanding. |
Ahha I see. Then, as far as I understand, mixtrain is a very general concept of using H3.6M and 3DPW dataset. Lastly, I just want to ask whether using both H3.6M and 3DHP is also implemented for the final DynaBOA code. May I get clarification for this part? |
Yes, for all test datasets, we use a subset of h3.6m as a retrieval database. |
Hi, can I make a question about your cluster files for retrieval from H3.6M? I wonder how did you generate the h36m_random_sample_center_10_10.pt, and cluster_res_random_sample_center_10_10_potocol2.pt. I also wonder how did u match the features clusters with their images, could u show me some code about it? |
Hi, please give me an email address, so that I can send the code to you for reference. But I didn't clean it. |
hi, my address is miranda018@163.com, thank you! |
Good morning,
Just have a question regarding mixtrain argument in DynaBOA code (including lower_level_mixtrain and upper_level_mixtrain).
I have confused with what exactly is mixtrain. According to the code, it seems that it allows the model to do label loss on h3.6m batch extracted from retrieval. However, the paper does not seem to mention mixtrain but mention an ablation study on "Adapting to non-stationary streaming data with highly mixed 3DPW and 3DHP videos.". But here, I am not sure whether the mixtrain procedure really uses 3DHP videos in the code. Could you make this clear on how to understand the mixtrain in the DynaBOA code in relation with the T-PAMI paper?
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