Part Segmentation on ShapeNet synthetic (test) benchmark leaderboard · SOTA2 Research

Part Segmentation on ShapeNet synthetic (test)

86.8Instance mIoUPsi-CNN

Evaluation Results

Method	Links
Psi-CNN2019.09		86.8	83.4	84.2	82.1	83.8	80.5	91	78.3	91.6	86.7	84.7	95.6	74.8	94.5	83.4	61.3	75.9	85.9
SPH3D-GCN2019.09		86.8	84.9	84.4	86.2	89.2	81.2	91.5	77.4	92.5	88.2	85.7	96.7	78.6	95.6	84.7	63.9	78.5	84
PointCNN2019.09		86.1	84.6	84.1	86.5	86	80.8	90.6	79.7	92.3	88.4	85.3	96.1	77.2	95.3	84.2	64.2	80	82.3
SFCNN2019.09		85.4	82.7	83	83.4	87	80.2	90.1	75.9	91.1	86.2	84.2	96.7	69.5	94.8	82.5	59.9	75.1	82.9
SpiderCNN2019.09		85.3	81.7	83.5	81	87.2	77.5	90.7	76.8	91.1	87.3	83.3	95.8	70.2	93.5	82.7	59.7	75.8	82.8
DGCNN2019.09		85.2	82.3	84	83.4	86.7	77.8	90.6	74.7	91.2	87.5	82.8	95.7	66.3	94.9	81.1	63.5	74.5	82.6
PointNet++2019.09		85.1	81.9	82.4	79	87.7	77.3	90.8	71.8	91	85.9	83.7	95.3	71.6	94.1	81.3	58.7	76.4	82.6
SO-Net2019.09		84.9	81	82.8	77.8	88	77.3	90.6	73.5	90.7	83.9	82.8	94.8	69.1	94.2	80.9	53.1	72.9	83
Spec-CNN2019.09		84.7	82	81.6	81.7	81.9	75.2	90.2	74.9	93	86.1	84.7	95.6	66.7	92.7	81.6	60.6	82.9	82.1
KCNet2019.09		84.7	82.2	82.8	81.5	86.4	77.6	90.3	76.8	91	87.2	84.5	95.5	69.2	94.4	81.6	60.1	75.2	81.3
SPLATNet3D2019.09		84.6	82	81.9	83.9	88.6	79.5	90.1	73.5	91.3	84.7	84.5	96.3	69.7	95	81.7	59.2	70.4	81.3
PointNet2019.09		83.7	80.4	83.4	78.7	82.5	74.9	89.6	73	91.5	85.9	80.8	95.3	65.2	93	81.2	57.9	72.8	80.6
Kd-net2019.09		82.3	77.4	80.1	74.6	74.3	70.3	88.6	73.5	90.2	87.2	81	94.9	57.4	86.7	78.1	51.8	69.9	80.3
3D-CNN2019.09		79.4	74.9	75.1	72.8	73.3	70	87.2	63.5	88.4	79.6	74.4	93.9	58.7	91.8	76.4	51.2	65.3	77.1