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authorJordan Gong <jordan.gong@protonmail.com>2021-01-02 19:10:08 +0800
committerJordan Gong <jordan.gong@protonmail.com>2021-01-02 19:10:08 +0800
commit02aaefaba26b6842d2feb403edfd71aaa75904da (patch)
tree18744854e8d80e0239c0b2f3e7eaf39bc0a7974e /test/hpm.py
parentde8561d1d053730c5af03e1d06850efb60865d3c (diff)
Correct feature dims after disentanglement and HPM backbone removal
1. Features used in HPM is decoded canonical embedding without transpose convolution 2. Decode pose embedding to image for Part Net 3. Backbone seems to be redundant, we can use feature map given by auto-decoder
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