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3D Shape Classification on ModelNet40 (test)

97.6AccuracyViewGCN
91.04892.74994.4596.151May 20, 2016Apr 16, 2017Mar 14, 2018Feb 8, 2019Jan 6, 2020Dec 2, 2020Oct 30, 2021

Evaluation results

MethodLinks
ViewGCNData Type=20 Views2020.1197.696.5—————
RotationNetInput=multi-views2020.0697.3——————
VRN ensembleInput Feature=mesh structure2018.0395.5——————
MVCNN-MultiRes2016.0593.8——————
MVCNN-MultiResInput Feature=mesh structure2018.0393.8——————
MVTNData Type=12 Views, rendering_setup=differentiable pipeline2020.1193.892—————
PT2Input=8×1024, Latency=530.2ms2021.1093.7——————
PT2Params=9.14M, FLOPs=17.1G, SDA=65.4%2021.1093.7——————
PTransformerData Type=Points2020.1193.790.6—————
RS-CNNinput=xyz, #points=1k2019.0493.6——————
RS-CNNInput=point cloud2020.0693.6——————
RSMix#Points=1k, Backbone=DGCNN, Evaluation Protocol=Single-View2021.0293.5——————
PatchFormerInput=16×1024, Latency=34.3ms2021.1093.5——————
PatchFormerParams=2.45M, FLOPs=1.62G, SDA=6.3%2021.1093.5——————
MVTNData Type=20 Views, rendering_setup=differentiable pipeline2020.1193.592.2—————
SO-Netinput=xyz, normal, #points=5k2019.0493.4——————
SO-Netinput=point coordinates, normal, #points=5k2019.0993.4——————
3D2SeqViewsInput=multi-views2020.0693.4——————
ViewGCNData Type=20 views, rendering_setup=differentiable pipeline2020.1193.391.3—————
DensePointinput=point coordinates, #points=1k2019.0993.2——————
PointASNLInput=16×1024, Latency=923.6ms2021.1093.2——————
PCTInput=16×1024, Latency=92.4ms2021.1093.2——————
PCTParams=2.88M, FLOPs=2.17G, SDA=24.6%2021.1093.2——————
SGASData Type=Points2020.1193.2——————
GVCNNInput=multi-views2020.0693.1——————
PointASNLParams=3.98M, FLOPs=5.92G, SDA=39.8%2021.1093.1——————
GVCNNData Type=12 Views2020.1193.190.7—————
InterpCNNInput=1024 points2019.0893——————
MID-FC(Finetune)Training Paradigm=Unsupervised Pre-training, Evaluation Protocol=Fine-tuned2020.0893——————
ViewGCNData Type=12 views, rendering_setup=differentiable pipeline2020.119390.7—————
KPConvKernel Type=rigid, Shape Normals=false2019.0492.9——————
KPConvInput=point cloud2020.0692.9——————
MID-FC(NoPre)Training Paradigm=Supervised, Evaluation Protocol=No Pre-training2020.0892.9——————
DGCNNTraining Paradigm=Supervised2020.0892.9——————
KPConvTraining Paradigm=Supervised2020.0892.9——————
RS-CNNTraining Paradigm=Supervised2020.0892.9——————
KPConvInput=16×6500, Latency=120.5ms2021.1092.9——————
DGCNNInput=16×1024, Latency=85.8ms2021.1092.9——————
DGCNNParams=1.81M, FLOPs=2.43G, SDA=57.2%2021.1092.9——————
KPConvData Type=Points2020.1192.9——————
DGCNN#Points=1k, Backbone=DGCNN, Evaluation Protocol=Single-View2021.0292.8——————
PT1Input=16×1024, Latency=320.6ms2021.1092.8——————
PT1Params=21.1M, FLOPs=5.05G, SDA=32.5%2021.1092.8——————
KPConvKernel Type=deformable, Shape Normals=false2019.0492.7——————
3DCapsuleInput=1024 points2019.0892.7——————
LDGCNNInput=16×10242021.1092.7——————
Point2SeqInput=1024 points2019.0892.6——————
PointConvInput=1024 points+normal2019.0892.5——————
SpiderCNNinput=xyz, normal, #points=5k2019.0492.4——————
SpiderCNNInput=1024 points+normal2019.0892.4——————
SpiderCNNinput=point coordinates, normal, #points=5k2019.0992.4——————
SpiderCNNInput=8×1024, Latency=82.6ms2021.1092.4——————
PVCNNInput=16×1024, Latency=24.2ms2021.1092.4——————
PCNN# points=10242018.0392.3——————
PCNNinput=xyz, #points=1k2019.0492.3——————
PCNN by ExtShape Normals=false2019.0492.3——————
PCNNinput=point coordinates, #points=1k2019.0992.3——————
MeshWalkerInput=mesh2020.0692.3——————
PointWebInput=16×10242021.1092.3——————
DGCNNinput=xyz, #points=1k2019.0492.2——————
PointCNNShape Normals=false2019.0492.2——————
DGCNNShape Normals=false2019.0492.2——————
PointCNNInput=1024 points2019.0892.2——————
DGCNNInput=1024 points2019.0892.2——————
DGCNNinput=point coordinates, #points=1k2019.0992.2——————
PointCNNinput=point coordinates, #points=1k2019.0992.2——————
PointCNNTraining Paradigm=Supervised2020.0892.2——————
PointCNNInput=16×1024, Latency=221.2ms2021.1092.2——————
DGCNNData Type=Points2020.1192.290.2—————
RSMix#Points=1k, Backbone=PointNet++, Evaluation Protocol=Multi-View2021.0292.1——————
VRN singleInput Feature=mesh structure2018.0392——————
MVCNNInput Feature=mesh structure2018.0392——————
VIPGANModality=View, Learning paradigm=Unsupervised2019.0791.98——————
pointnet++# points=5K, Input Feature=normals2018.0391.9——————
MeshNetModality=mesh2018.1191.9——————
PointNet++input=xyz, normal, #points=5k2019.0491.9——————
PointNet++Input=5000 points+normal2019.0891.9——————
PointNet++input=point coordinates, normal, #points=5k2019.0991.9——————
MeshNetInput=mesh2020.0691.9——————
PointNet++Input=16×1024, Latency=35.3ms2021.1091.9——————
PointNet++(MSG)Params=1.74M, FLOPs=4.09G, SDA=47.6%2021.1091.9——————
PointNet++Data Type=Points2020.1191.9——————
Rotation Prediction + Context PredictionBackbone=DGCNN, Evaluation protocol=Linear SVM, Feature Combination=Concatenation2020.0891.84——————
kd-network# points=32k2018.0391.8——————
Kd-NetModality=point2018.1191.8——————
Kd-Netinput=xyz, #points=32k, depth=152019.0491.8——————
Spec-GCNinput=xyz, normal, #points=1k2019.0491.8——————
Kd-NetworkInput=1024 points2019.0891.8——————
Kd-Net(depth=15)input=point coordinates, #points=32k2019.0991.8——————
Spec-GCNinput=point coordinates, normal, #points=1k2019.0991.8——————
PointCNNData Type=Points2020.1191.888.1—————
PointCNNinput=xyz, #points=1k2019.0491.7——————
3DmFV-NetShape Normals=false2019.0491.6——————
SNGCInput=mesh2020.0691.6——————
RSMix#Points=1k, Backbone=PointNet++, Evaluation Protocol=Single-View2021.0291.6——————
4l-spec-cpDomain=Local k-NN graph, Kernel=graph conv, Pooling=graph-cp2018.0391.5——92.1———
Spec-GCNinput=xyz, #points=1k2019.0491.5——————
SpecGCNShape Normals=false2019.0491.5——————
Spec-GCNinput=point coordinates, #points=1k2019.0991.5——————
VRN SingleInput=voxels2019.0891.3——————