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Ablation study of the bev feature at timestamp t-k #4

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jinhuan-hit opened this issue Jul 28, 2023 · 3 comments
Open

Ablation study of the bev feature at timestamp t-k #4

jinhuan-hit opened this issue Jul 28, 2023 · 3 comments

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@jinhuan-hit
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jinhuan-hit commented Jul 28, 2023

Hi, I am wondering do you compare the results of the reconstructed bev feature with the real bev feature at timestamp t-k?

@jinhuan-hit jinhuan-hit changed the title Ablation study of the bev feature of t-k Ablation study of the bev feature at timestamp t-k Jul 28, 2023
@CaraJ7
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CaraJ7 commented Aug 2, 2023

We conducted the experiment on the model below:
Snipaste_2023-08-02_15-17-02

and we found that the performance of HoP branch is:
tmp_hop_his.

@CaraJ7 CaraJ7 closed this as completed Aug 2, 2023
@jinhuan-hit
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Got it! With HoP, the performance of NDS increases to 0.531 from 0.5159.

@CaraJ7
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CaraJ7 commented Aug 3, 2023

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.

@CaraJ7 CaraJ7 reopened this Aug 3, 2023
@CaraJ7 CaraJ7 reopened this Aug 3, 2023
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