does anyone can reproduce the paper result? about se-ssd HOT 12 CLOSED

@WWW2323 My advice is to use the ODIoU loss to train CIA-SSD, thus get a better pre-trained model, which can make it easier to get a decent performance.

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For Det3d install, I just follow the tutorial, use the poodarchu's spconv, and then install Det3d.

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No, i gave up. If you make it, please @ me, thanks.

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Lol. Me too 😂

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Evaluation official: car AP(Average Precision)@0.70, 0.70, 0.70:
bbox AP:88.58, 77.79, 75.09
bev AP:84.71, 75.34, 67.57
3d AP:47.61, 41.61, 40.11
aos AP:87.11, 75.19, 72.10
car AP(Average Precision)@0.70, 0.50, 0.50:
bbox AP:88.58, 77.79, 75.09
bev AP:90.81, 89.37, 87.25
3d AP:90.62, 88.13, 79.81
aos AP:87.11, 75.19, 72.10

Evaluation coco: car coco [email protected]:0.05:0.95:
bbox AP:60.11, 56.47, 54.31
bev AP:53.67, 50.72, 47.66
3d AP:41.55, 37.92, 35.54
aos AP:59.18, 54.57, 52.16

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My trained best results is slightly lower than the released one...the training is a little tricky, but I finally make it :)

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@Y-why Great!! Could you share your training procedure?

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@Y-why thanks!!

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My trained best results is slightly lower than the released one...the training is a little tricky, but I finally make it :)

@Y-why Is the left image result of training CIA-SSD with ODIoU loss?
It seems nice on moderate but terrible on simple and hard cases.

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@Y-why And what's the performance using the ODIoU loss to train CIA-SSD?
The performance doesn't improve obviously with the ODIoU loss.

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@Viczyf The left and right pictures show the AP_11 and AP_40 of SE-SSD, respectively. The ODIoU loss can improve the CIA-SSD a bit and help to reproduce the SE-SSD's results. For the improvement, you may refer to the issue.

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@WWW2323
Have your ever reproduced the performance successfully?

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