Comments (3)
GuoxingYan
commented on July 28, 2024
In my training, loss_instance_seg is an order of magnitude lower than other losses. Why is the scaling ratio of 1/5 in the paper?
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TonyXuQAQ
commented on July 28, 2024
- The script for tensorboard could be found here
./bash/run_tensorboard.bash. - In our experiments, all loss functions have the same order of magnitude. Loss weight 1/5 was used in early experiments. Please go through the training code for details and you could try other weights to balance loss functions.
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GuoxingYan
commented on July 28, 2024
ok
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Related Issues (20)
- Segmentation operations during training HOT 4
- about Training label calculation HOT 1
- About RNGDet result HOT 3
- How to Batch Training？ HOT 2
- Some issues related to history_map HOT 2
- L1 Loss HOT 2
- Training Label Calculation HOT 4
- CNN backones HOT 1
- aux_loss HOT 1
- About the preparation of the training dataset. HOT 5
- This is a problem about rtree.go HOT 4
- The number of "unexplored_edges" is larger than "num_queries" HOT 2
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- I am not sure why not try RoadTracer Dataset in RNGDet++ like the experiment conducted in RNGDet HOT 1
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