Shape adaptive feature aggregation network for point cloud classification and segmentation

Table 1. Experimental hyperparameter configuration
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Table 1. Experimental hyperparameter configuration
Parameter ModelNet40 ShapeNet S3dis
Input points 1 024 2 048 4 096
Batchsize 24 12 12
Epochs 400 200 64
Learning rate 0.001 0.001 0.01
Lr_scheduler Cosine Annealing LR
Optimizer AdamW
Encoding layers 3 3 4
Decoding layers - 3 4

Table 2. Ablation experiments of SANFA-Net on three tasks

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Table 2. Ablation experiments of SANFA-Net on three tasks

Model	Modules			ModelNet40		ShapeNet		S3dis
Model	baseline	ASDM	ALFEM	Ins.acc	Cls.acc	Cls.mIoU	Ins.mIoU	Ins.acc	Ins.mIoU
（a）	√			92.53	89.17	82.16	85.21	62.03	53.53
（b）	√	√		93.38	90.63	82.83	85.59	65.18	57.30
（c）	√	√	√	93.92	91.41	83.35	85.86	67.28	59.68

Table 3. Comparative experiments of SANFA-Net on ModelNet40 dataset

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Table 3. Comparative experiments of SANFA-Net on ModelNet40 dataset

Method	Para（M）	Ins.acc/%
PointConv^［22］	-	92.5
PointConT^［23］	-	93.5
3D-GCN^［16］	0.89	92.1
DGCNN^［18］	1.81	92.2
DeepGCNs^［17］	2.2	93.6
PointNet^［14］	3.5	89.2
PointNet++^［15］	1.48	92.5
CSANet^［24］	13.2	92.8
PCT-KF^［25］	-	93.5
Ours	1.72	93.9

Table 4. Comparative experiments of SANFA-Net on ShapeNet dataset

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Table 4. Comparative experiments of SANFA-Net on ShapeNet dataset

Method	Para/M	Cls.mIoU/%	Ins.mIoU/%
ConvPoint^［26］	-	83.4	85.8
PointConv^［22］	-	82.8	85.7
DGCNN^［18］	1.46	82.3	85.1
3D-GCN^［16］	1.71	82.7	85.3
PointNet^［14］	8.34	80.4	83.7
PointNet++^［15］	1.41	81.9	85.1
DPFANet^［27］	-	-	85.5
PCT-KF^［25］	-	-	85.6
CSANet^［24］	15.45	-	85.7
Ours	1.65	83.4	85.9

Table 5. Comparative experiments of SANFA-Net on S3dis dataset

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Table 5. Comparative experiments of SANFA-Net on S3dis dataset

Methods	Para/M	Ins.acc/%	Ins.mIoU/%
PointCNN^［28］	11.74	63.9	57.3
PCCN^［29］	-	67.0	58.3
DeepGCNs^［17］	-	-	53.6
3D-GCN^［16］	1.71	-	51.9
DGCNN^［18］	0.98	61.5	52.0
PointNet^［14］	3.53	49.0	41.1
PointNet++^［15］	0.97	62.0	53.5
CSANet^［24］	15.45	-	53.3
DPFANet^［27］	-	-	55.2
Ours	2.01	67.3	59.7

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Zhihao JIANG, Meixiang ZHANG, Weitao XUE, Lina FU, Jing WEN, Yongqiang LI, Hong HUANG. Shape adaptive feature aggregation network for point cloud classification and segmentation[J]. Optics and Precision Engineering, 2025, 33(5): 777

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