2D Classification on SUN-RGBD val
Metric: Inference Speed (s) (lower is better)
LeaderboardDataset
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Results
Submit a result| # | Model↕ | Inference Speed (s)▲ | Augmentations | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Frustum VoxNet (YOLO v3+3D ResNetFCN6) | 0.048 | No | Frustum VoxNet for 3D object detection from RGB-... | 2019-10-12 | - |
| 2 | F-PointNet | 0.12 | No | Frustum PointNets for 3D Object Detection from R... | 2017-11-22 | Code |
| 3 | Frustum VoxNet (+3D ResNetFCN6) | 0.16 | No | Frustum VoxNet for 3D object detection from RGB-... | 2019-10-12 | - |
| 4 | Frustum VoxNet v2 (FPN + 3D ResNetFCN6 V2) | 0.24 | No | - | - | - |
| 5 | 2D-driven | 4.15 | No | - | - | - |
| 6 | DSS | 19.55 | No | Deep Sliding Shapes for Amodal 3D Object Detecti... | 2015-11-07 | - |