Comments (3)
Hmm, DUQ cannot be easily extended to regression, so bounding box object detection would be difficult.
We do have a follow up (workshop) paper on semantic segmentation: https://arxiv.org/abs/2111.00079 based on a different but similar method.
One object detction network is developed bases on your DUQ, https://ieeexplore.ieee.org/abstract/document/9627771, published on RA-L recently.
I will also try to implment your method on 6D pose regression task.
from deterministic-uncertainty-quantification.
Hmm, DUQ cannot be easily extended to regression, so bounding box object detection would be difficult.
We do have a follow up (workshop) paper on semantic segmentation: https://arxiv.org/abs/2111.00079 based on a different but similar method.
from deterministic-uncertainty-quantification.
Thank you for sharing this :)
from deterministic-uncertainty-quantification.
Related Issues (11)
- Replication of Toy Example for Deep Ensemble HOT 1
- Error when used train_duq_fm.py HOT 4
- Which variable represents uncertainty in two moons example? HOT 1
- notMNIST mat file missing HOT 1
- Reproduce results HOT 4
- Element 0 of tensors does not require grad and does not have a grad_fn HOT 3
- A question of paper HOT 1
- Some questions of paper and codes HOT 1
- Semantic Segmentation code HOT 1
- DUQ is able to estimate aleatoric uncertainty or not? HOT 3
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