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| author | Jordan Gong <jordan.gong@protonmail.com> | 2021-01-02 19:10:08 +0800 |
|---|---|---|
| committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-01-02 19:10:08 +0800 |
| commit | 02aaefaba26b6842d2feb403edfd71aaa75904da (patch) | |
| tree | 18744854e8d80e0239c0b2f3e7eaf39bc0a7974e /utils/triplet_loss.py | |
| parent | de8561d1d053730c5af03e1d06850efb60865d3c (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
Diffstat (limited to 'utils/triplet_loss.py')
0 files changed, 0 insertions, 0 deletions