Could you share the 3 class results with 20% training data?

[pigtigger]

I am curious about the performance gain on vehicle for both 1f && 3f model with 20% training data,
so could you provide the results , cause I dont have enough GPUs to train it now.

[Abyssaledge]

The given config sst_waymoD5_1x_3class_12heads could achieve:

Vehicle/L1 mAP: 0.6725, Vehicle/L1 mAPH: 0.6670, Vehicle/L2 mAP: 0.5881, Vehicle/L2 mAPH: 0.5832,
Pedestrian/L1 mAP: 0.7346, Pedestrian/L1 mAPH: 0.6057, Pedestrian/L2 mAP: 0.6492, Pedestrian/L2 mAPH: 0.5337,
Sign/L1 mAP: 0.0000, Sign/L1 mAPH: 0.0000, Sign/L2 mAP: 0.0000, Sign/L2 mAPH: 0.0000,
Cyclist/L1 mAP: 0.6321, Cyclist/L1 mAPH: 0.6182, Cyclist/L2 mAP: 0.6086, Cyclist/L2 mAPH: 0.5951,
Overall/L1 mAP: 0.6797, Overall/L1 mAPH: 0.6303, Overall/L2 mAP: 0.6153, Overall/L2 mAPH: 0.5707

If you using the 8-head counterpart, Vehicle/L1 mAP should be 1 mAP lower.
For 3 frame and 8-head, Vehicle/L1 mAP is around 69.5. So multi-frame model could obtain ~3 mAP with 20% training data on L1 Vehicle.