Age | Commit message (Expand) | Author |
2021-03-05 | Calculate losses outside modules | Jordan Gong |
2021-02-21 | Remove FConv blocks | Jordan Gong |
2021-02-20 | Separate triplet loss from model | Jordan Gong |
2021-02-18 | Implement adjustable input size and change some default configs | Jordan Gong |
2021-02-15 | Revert "Memory usage improvement" | Jordan Gong |
2021-02-14 | Memory usage improvement | Jordan Gong |
2021-02-09 | Improve performance when disentangling | Jordan Gong |
2021-02-08 | Code refactoring, modifications and new features | Jordan Gong |
2021-01-23 | Remove the third term in canonical consistency loss | Jordan Gong |
2021-01-21 | Bug fixes | Jordan Gong |
2021-01-09 | Change auto-encoder input in evaluation | Jordan Gong |
2021-01-06 | Add CUDA support | Jordan Gong |
2021-01-03 | Delete dead training judge | 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 |
2020-12-31 | Implement some parts of RGB-GaitPart wrapper | Jordan Gong |
2020-12-29 | Return canonical features at condition 1 for later aggregation | Jordan Gong |
2020-12-28 | Wrap the auto-encoder, return 3 losses at t2 | Jordan Gong |
2020-12-27 | Fix inconsistency and API deprecation issues in decoder | Jordan Gong |
2020-12-27 | Refine auto-encoder | Jordan Gong |
2020-12-24 | Optimize imports | Jordan Gong |
2020-12-24 | Change the usage of layers and reorganize relations of layers | Jordan Gong |
2020-12-23 | Modify activation functions after conv or trans-conv in auto-encoder | Jordan Gong |
2020-12-23 | Refactor and refine auto-encoder | Jordan Gong |
2020-12-23 | Reshape feature before decode | Jordan Gong |
2020-12-23 | Split modules to different files | Jordan Gong |