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auto_encoder.py
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Author
2021-04-06
Network modification
Jordan Gong
2021-03-12
Code refactoring
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