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2021-03-05Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
2021-03-05Merge branch 'master' into data_parallelJordan Gong
2021-03-05Calculate losses outside modulesJordan Gong
2021-03-05Bump up torch versionJordan Gong
2021-03-04Merge branch 'python3.8' into data_parallel_py3.8Jordan Gong
2021-03-04Merge branch 'master' into python3.8Jordan Gong
2021-03-04Merge branch 'master' into data_parallelJordan Gong
2021-03-04Replace detach with no_grad in evaluationJordan Gong
2021-03-04Set seed for reproducibilityJordan Gong
2021-03-03Merge branch 'python3.8' into data_parallel_py3.8Jordan Gong
2021-03-03Merge branch 'master' into data_parallelJordan Gong
2021-03-03Merge branch 'master' into python3.8Jordan Gong
2021-03-03Add L2 penalty to globalJordan Gong
2021-03-02Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
2021-03-02Merge branch 'master' into data_parallelJordan Gong
2021-03-02Fix DataParallel specific bugsJordan Gong
2021-03-02Merge branch 'master' into python3.8Jordan Gong
2021-03-02Record learning rate every stepJordan Gong
2021-03-02Fix bugs in new schedulerJordan Gong
2021-03-01Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
2021-03-01Bug fixesJordan Gong
2021-03-01Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
# Conflicts: # models/model.py # utils/configuration.py # utils/triplet_loss.py
2021-03-01Merge branch 'master' into data_parallelJordan Gong
# Conflicts: # models/model.py
2021-03-01Merge branch 'master' into python3.8Jordan Gong
# Conflicts: # models/model.py
2021-03-01New scheduler and new configJordan Gong
2021-03-01Merge branch 'master' into python3.8Jordan Gong
2021-03-01Change flat distance calculation methodJordan Gong
2021-03-01Merge branch 'master' into python3.8Jordan Gong
2021-03-01Move pairs variable to localJordan Gong
2021-03-01Remove identical sample in Batch All caseJordan Gong
2021-02-28Merge branch 'master' into python3.8Jordan Gong
# Conflicts: # utils/configuration.py # utils/triplet_loss.py
2021-02-28Implement sum of loss default in [1]Jordan Gong
[1]A. Hermans, L. Beyer, and B. Leibe, “In defense of the triplet loss for person re-identification,” arXiv preprint arXiv:1703.07737, 2017.
2021-02-28Log n-ile embedding distance and normJordan Gong
2021-02-28Modify default parametersJordan Gong
1. Change ReLU to Leaky ReLU in decoder 2. Add 8-scale-pyramid in HPM
2021-02-28Bump up version for tqdmJordan Gong
2021-02-27Merge branch 'master' into python3.8Jordan Gong
# Conflicts: # models/model.py # utils/configuration.py # utils/triplet_loss.py
2021-02-27Implement Batch Hard triplet loss and soft marginJordan Gong
2021-02-26Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
# Conflicts: # models/part_net.py # models/rgb_part_net.py
2021-02-26Merge branch 'master' into data_parallelJordan Gong
# Conflicts: # models/model.py
2021-02-26Merge branch 'master' into python3.8Jordan Gong
2021-02-26Update default configJordan Gong
2021-02-26Fix predict functionJordan Gong
2021-02-21Merge branch 'master' into python3.8Jordan Gong
# Conflicts: # models/part_net.py # models/rgb_part_net.py
2021-02-21Remove FConv blocksJordan Gong
2021-02-20Merge branch 'python3.8' into data_parallel_py3.8Jordan Gong
# Conflicts: # models/model.py
2021-02-20Merge branch 'master' into python3.8Jordan Gong
# Conflicts: # models/model.py # models/rgb_part_net.py
2021-02-20Separate triplet loss from modelJordan Gong
2021-02-20Merge branch 'master' into data_parallelJordan Gong
# Conflicts: # models/model.py
2021-02-20Separate triplet loss from modelJordan Gong
2021-02-19Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
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