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Sense-X / HoP

[ICCV 2023] Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction
Apache License 2.0
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Ablation study of the bev feature at timestamp t-k #4

Open jinhuan-hit opened 1 year ago

jinhuan-hit commented 1 year ago

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

CaraJ7 commented 1 year ago

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.

jinhuan-hit commented 1 year ago

Got it! With HoP, the performance of NDS increases to 0.531 from 0.5159.

CaraJ7 commented 1 year ago

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.