Comments (3)
CaraJ7
commented on July 29, 2024
We conducted the experiment on the model below:
and we found that the performance of HoP branch is:
.
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jinhuan-hit
commented on July 29, 2024
Got it! With HoP, the performance of NDS increases to 0.531 from 0.5159.
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CaraJ7
commented on July 29, 2024
Hi, @jinhuan-hit . I am afraid that my last answer may mislead you. Let me clarify it.
The performance of HoP branch, which is shown in the second picture, means that it is the detection performance based on reconstructed BEV feature.
The performance increase due to HoP is from 0.513 to 0.531.
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Related Issues (17)
- Temporal BEV feature align HOT 2
- When will release code for HoP on BEVFormer? HOT 1
- typeError: Unsupported format:color HOT 3
- 训练中得到0map HOT 5
- KeyError: 'ann_info'
- Segmentation Fault while inference over R50 Models HOT 1
- When will the SOTA model for nuScenes detection task be posted in model_zoo?
- Why is HoP useful even thought it is not used in inferring？
- Bevformer+HoP config,please HOT 2
- Pretrained weights for NuScenes detection HOT 1
- How to get the ground truth of history frames? HOT 2
- Does it work for 2 camera views?
- Why does the channel reduction can prune the height info ?
- Can Hop used in PETR model? HOT 1
- Some Issues with Replication HOT 3
- Will open sota config on nuscenes benchmark ?
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