3D Object Detection On Sun Rgbd
Metrics
Inference Speed (s)
mAP@0.25
Results
Performance results of various models on this benchmark
Model Name | Inference Speed (s) | mAP@0.25 | Paper Title | Repository |
|---|---|---|---|---|
| Frustum VoxNets v2 | 0.21 | 45.0 | 3D Object Detection and Instance Segmentation from 3D Range and 2D Color Images | - |
| CAGroup3D (Geo Only) | - | 66.8 | CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds | |
| Frustum PointNets | - | 54.0 | Frustum PointNets for 3D Object Detection from RGB-D Data | |
| GroupFree3D | - | 63.0 | Group-Free 3D Object Detection via Transformers | |
| ImVoteNet | - | 63.4 | ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes | |
| STRL + VoteNet ShapeNet_Pretrain | - | 59.2 | Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds | |
| STRL + VoteNet | - | 58.2 | Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds |
0 of 7 row(s) selected.