3D Object Detection On Sun Rgbd Val
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | [email protected] | [email protected] |
|---|---|---|
| v-detr-detr-with-vertex-relative-position | 68.0 | 51.1 |
| 3d-object-detection-and-instance-segmentation | 45.0 | - |
| 3d-object-detection-with-latent-support | 51.0 | - |
| state-space-model-meets-transformer-a-new-1 | 69.2 | 52.2 |
| cagroup3d-class-aware-grouping-for-3d-object | 66.8 | 50.2 |
| back-tracing-representative-points-for-voting | 61.1 | 43.7 |
| state-space-model-meets-transformer-a-new-1 | 65.3 | 48.4 |
| a-hierarchical-graph-network-for-3d-object | 61.6 | - |
| rbgnet-ray-based-grouping-for-3d-object | 64.1 | 47.2 |
| clouds-of-oriented-gradients-for-3d-detection | 54.3 | - |
| frustum-voxnet-for-3d-object-detection-from | 37.7 | - |
| h3dnet-3d-object-detection-using-hybrid | 60.1 | 39.0 |
| point-cloud-pre-training-with-natural-3d | 60.2 | 35.2 |
| tr3d-towards-real-time-indoor-3d-object | 67.1 | 50.4 |
| 2d-driven-3d-object-detection-in-rgb-d-images | 45.1 | - |
| group-free-3d-object-detection-via | 63.0 | 45.2 |
| frustum-voxnet-for-3d-object-detection-from | - | - |
| tr3d-towards-real-time-indoor-3d-object | 69.4 | 53.4 |
| point-gcc-universal-self-supervised-3d-scene | 69.7 | 54.0 |
| boosting-3d-object-detection-via-object | 67.4 | 51.2 |
| deep-hough-voting-for-3d-object-detection-in | 59.1 | 35.8 |
| lcpformer-towards-effective-3d-point-cloud | 63.2 | 46.2 |
| surface-representation-for-point-clouds | 64.9 | 47.7 |
| an-end-to-end-transformer-model-for-3d-object | 59.1 | 32.7 |
| octformer-octree-based-transformers-for-3d | 66.2 | 50.6 |
| fcaf3d-fully-convolutional-anchor-free-3d | 64.2 | 48.9 |
| frustum-pointnets-for-3d-object-detection | 54.0 | - |
| spgroup3d-superpoint-grouping-network-for | 65.4 | 47.1 |
| point-gcc-universal-self-supervised-3d-scene | 67.7 | 51.0 |
| multimodal-token-fusion-for-vision | 64.9 | 48.3 |
| deep-sliding-shapes-for-amodal-3d-object | - | - |
| three-dimensional-object-detection-and-layout | 47.6 | - |