3D Object Detection on KITTI car category (val)
89.4AP BEV EasyAVOD-FPN (Baseline)
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| AVOD-FPN (Baseline)Sparsity=0%, Backbone=AVOD-FPN2024.09 | 89.4 | 82.4 | 83.9 | 72.2 | 78.7 | 66.5 | |
| AlterMOMASparsity=80%, Backbone=AVOD-FPN2024.09 | 87.2 | 80.5 | 81.5 | 70.2 | 77.9 | 63.2 | |
| AlterMOMASparsity=90%, Backbone=AVOD-FPN2024.09 | 85.3 | 77.4 | 79.9 | 68.2 | 75.8 | 62.3 | |
| ProsPrSparsity=80%, Backbone=AVOD-FPN2024.09 | 85.2 | 78.9 | 79.1 | 69.6 | 75.7 | 62.1 | |
| ProsPrSparsity=90%, Backbone=AVOD-FPN2024.09 | 81.2 | 74.2 | 75.1 | 63.4 | 71.9 | 59.1 | |
| SynFlowSparsity=80%, Backbone=AVOD-FPN2024.09 | 79.5 | 74.2 | 75.3 | 65.7 | 70.3 | 60.2 | |
| SNIPSparsity=80%, Backbone=AVOD-FPN2024.09 | 79.1 | 73.5 | 75.8 | 64.9 | 69.6 | 59.8 | |
| SynFlowSparsity=90%, Backbone=AVOD-FPN2024.09 | 73.5 | 64.5 | 67.6 | 54.7 | 64.4 | 48.1 | |
| SNIPSparsity=90%, Backbone=AVOD-FPN2024.09 | 72.4 | 62.7 | 66.9 | 52.3 | 63.7 | 45.8 | |
| IMPSparsity=80%, Backbone=AVOD-FPN2024.09 | 69.2 | 65.8 | 64.6 | 57.7 | 59.7 | 51.3 | |
| GUPNetSupervision=Full, LiDAR=Label2023.03 | 61.78 | 57.62 | 47.06 | 42.33 | 40.88 | 37.59 | |
| MonoPairSupervision=Full, LiDAR=Label2023.03 | 61.06 | 55.38 | 47.63 | 42.39 | 41.92 | 37.99 | |
| MonoDLESupervision=Full, LiDAR=Label2023.03 | 60.73 | 55.41 | 46.87 | 43.42 | 41.89 | 37.81 | |
| IMPSparsity=90%, Backbone=AVOD-FPN2024.09 | 59.6 | 52.1 | 54.2 | 45.7 | 51.7 | 43.2 | |
| WeakM3DSupervision=Weak, LiDAR=Train2023.03 | 58.2 | 50.16 | 38.02 | 29.94 | 30.17 | 23.11 | |
| WeakMono3DSupervision=Weak, LiDAR=None2023.03 | 54.32 | 49.37 | 42.83 | 39.01 | 40.07 | 36.34 | |
| M3D-RPNSupervision=Full, LiDAR=Label2023.03 | 53.35 | 48.53 | 39.6 | 35.94 | 31.76 | 28.59 | |
| MonoGRNetSupervision=Full, LiDAR=Label2023.03 | 52.13 | 47.59 | 35.99 | 32.28 | 28.72 | 25.5 | |
| AutolabelsSupervision=Weak, LiDAR=Train2023.03 | 50.51 | 38.31 | 30.97 | 19.9 | 23.72 | 14.83 | |
| CenterNetSupervision=Full, LiDAR=Label2023.03 | 34.36 | 20 | 27.91 | 17.5 | 24.65 | 15.57 | |
| VS3DSupervision=Weak, LiDAR=Train+Val2023.03 | 31.59 | 22.62 | 20.59 | 14.43 | 16.28 | 10.91 |