Age | Commit message (Collapse) | Author | |
---|---|---|---|
2021-01-03 | Implement weight initialization | Jordan Gong | |
2021-01-03 | Update hyperparameter configuration, implement prototype fit function | Jordan Gong | |
2021-01-03 | Add separate fully connected layers | Jordan Gong | |
2021-01-02 | Separate training and evaluating | Jordan Gong | |
2021-01-02 | Correct feature dims after disentanglement and HPM backbone removal | Jordan Gong | |
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 | |||
2021-01-02 | Change type of pose similarity loss to tensor | Jordan Gong | |
2020-12-31 | Implement some parts of RGB-GaitPart wrapper | Jordan Gong | |
1. Triplet loss function and weight init function haven't been implement yet 2. Tuplize features returned by auto-encoder for later unpack 3. Correct comment error in auto-encoder 4. Swap batch_size dim and time dim in HPM and PartNet in case of redundant transpose 5. Find backbone problems in HPM and disable it temporarily 6. Make feature structure by HPM consistent to that by PartNet 7. Fix average pooling dimension issue and incorrect view change in HP |