Comments (1)
Hi, thanks for your question!
We use DHN instead of HA because we need to propagate gradients from the MOT loss. HA has operations that are not differentiable so it cannot be used directly.
Best,
from deepmot.
Related Issues (20)
- What are the meanings of the parameters of the missedMatchErrorV3 method?
- How to train DHN? HOT 1
- evaluation results lower than the results you shown in your paper HOT 1
- request HOT 1
- Why does the running result look so bad?
- verison request HOT 1
- Questions on the dataset for DHN and training process HOT 3
- AttributeError: 'FPN' object has no attribute 'reid_branch' HOT 1
- ImportError: torch.utils.ffi is deprecated. Please use cpp extensions instead. HOT 1
- Is it okay to use obsolete branch to reproduce your results? HOT 5
- Not able to run the Singularity image HOT 1
- Not able to launch singularity image HOT 4
- How to generate DHN_data on the custom data? HOT 8
- The loss curves shows that training of the model does not converge HOT 1
- The model does not converge based on the loss curve.
- Colab Notebook HOT 1
- Cloning into 'deepmot'... Permission denied (publickey). HOT 1
- why not to use DHN in the testing stage?
- About training on custom datasets
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from deepmot.