HyperAI

3D Instance Segmentation On Scannetv2

Metrics

mAP
mAP @ 50
mRec

Results

Performance results of various models on this benchmark

Comparison Table
Model NamemAPmAP @ 50mRec
learning-object-bounding-boxes-for-3d25.348.847.6
masc-multi-scale-affinity-with-sparse-45.9-
msta3d-multi-scale-twin-attention-for-3d-156.979.574.1
learning-regional-purity-for-instance42.864.2-
3d-u-net-learning-dense-volumetric-31.9-
serialized-point-mamba-a-serialized-point40.0--
hida-towards-holistic-indoor-understanding43.663.5-
instance-segmentation-in-3d-scenes-using50.669.8-
spherical-mask-coarse-to-fine-3d-point-cloud61.681.2-
pointgroup-dual-set-point-grouping-for-3d40.763.6-
3d-mpa-multi-proposal-aggregation-for-3d35.359.161.1
mask-attention-free-transformer-for-3d59.6--
hierarchical-aggregation-for-3d-instance45.769.9-
odin-a-single-model-for-2d-and-3d-perception50.071.0-
oneformer3d-one-transformer-for-unified-point56.680.1-
isbnet-a-3d-point-cloud-instance-segmentation55.976.3-
beyond-the-final-layer-hierarchical-query60.681.0-
3d-instances-as-1d-kernels53.271.8-
top-down-beats-bottom-up-in-3d-instance48.975.1-
learning-gaussian-instance-segmentation-in-63.8-
3d-sis-3d-semantic-instance-segmentation-of-38.2-
4dcontrast-contrastive-learning-with-dynamic-57.6-
divide-and-conquer-3d-point-cloud-instance57.374.7-
superpoint-transformer-for-3d-scene-instance54.977.0-
softgroup-for-3d-instance-segmentation-on50.476.1-
mask3d-for-3d-semantic-instance-segmentation55.278.0-
rwseg-cross-graph-competing-random-walks-for34.856.7-
learning-and-memorizing-representative-31-
maskgroup-hierarchical-point-grouping-and43.466.4-
query-refinement-transformer-for-3d-instance58.378.7-
masc-multi-scale-affinity-with-sparse25.444.7-