3D Object Detection On Scannetv2
评估指标
mAP@0.25
mAP@0.5
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 | mAP@0.25 | mAP@0.5 |
---|---|---|
模型 1 | 74.6 | 65.3 |
tr3d-towards-real-time-indoor-3d-object | 72.9 | 59.3 |
rbgnet-ray-based-grouping-for-3d-object | 70.6 | 55.2 |
a-hierarchical-graph-network-for-3d-object | 61.3 | 34.4 |
divide-and-conquer-3d-point-cloud-instance | 69.3 | 60.1 |
v-detr-detr-with-vertex-relative-position | 77.8 | 65.9 |
point-gcc-universal-self-supervised-3d-scene | 73.1 | 59.6 |
back-tracing-representative-points-for-voting | 66.1 | 50.9 |
softgroup-for-3d-instance-segmentation-on | 71.6 | 59.4 |
generative-sparse-detection-networks-for-3d | 62.8 | 34.8 |
spgroup3d-superpoint-grouping-network-for | 74.3 | 59.6 |
h3dnet-3d-object-detection-using-hybrid | 67.2 | 48.1 |
imgeonet-image-induced-geometry-aware-voxel | 54.8 | 28.4 |
deep-hough-voting-for-3d-object-detection-in | 58.6 | 33.5 |
group-free-3d-object-detection-via | 69.1 | 52.8 |
swin3d-a-pretrained-transformer-backbone-for | 76.4 | 63.2 |
oneformer3d-one-transformer-for-unified-point | 76.9 | 65.3 |
multimodal-token-fusion-for-vision | 70.8 | 54.2 |
unidet3d-multi-dataset-indoor-3d-object | 77.5 | 66.1 |
state-space-model-meets-transformer-a-new-1 | 78.8 | 67.9 |
sgpn-similarity-group-proposal-network-for-3d | 20.7 | - |
imvoxelnet-image-to-voxels-projection-for | 48.1 | 22.7 |
3d-mpa-multi-proposal-aggregation-for-3d | 64.2 | 49.2 |
point-cloud-pre-training-with-natural-3d | 63.4 | 39.9 |
surface-representation-for-point-clouds | 71.2 | 54.8 |
an-end-to-end-transformer-model-for-3d-object | 65.0 | 47.0 |
query-refinement-transformer-for-3d-instance | 73.4 | 61.7 |
3d-sis-3d-semantic-instance-segmentation-of | 40.2 | 22.5 |
fcaf3d-fully-convolutional-anchor-free-3d | 71.5 | 57.3 |
cagroup3d-class-aware-grouping-for-3d-object | 75.1 | 61.3 |
mv-detr-multi-modality-indoor-object | 78.0 | 65.8 |
gspn-generative-shape-proposal-network-for-3d | 30.6 | 17.7 |
state-space-model-meets-transformer-a-new-1 | 71.3 | 58.1 |