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Object Classification on N-CARS

96.8Accuracy

MVF-Net

Updated 1mo ago

Evaluation Results

Method	Links
MVF-Net 2024.12		96.8	-
EDGCN 2024.12		95.8	-
M-LSTM 2024.12		95.7	-
EV-VGCNN 2024.12		95.3	-
SECNet 2024.12		94.7	-
ECSNet 2024.12		94.6	-
AEGNN 2024.06		94.5	0.47
AsyNet 2024.12		94.4	-
VMST-Net 2024.12		94.4	-
AsyNet 2024.06		94.4	21.5
EVSTr 2024.12		94.1	-
VMV-GCN 2024.12		93.2	-
EvS-S 2024.06		93.1	6.1
M-LSTM 2024.12		92.7	-
MVF-Net 2024.12		92.7	-
YOLE 2024.06		92.7	328.16
EST 2024.12		92.5	-
EFGCN-L 2024.06		92.3	0.111
EFGCN-B 2024.06		92	0.06
EST 2024.12		91.9	-
NvS-S 2024.06		91.5	5.2
RG-CNNs 2024.12		91.4	-
RG-CNNs 2024.06		91.4	-
EFGCN-S 2024.06		90.7	0.032
HATS 2024.12		90.2	-
HATS 2024.06		90.2	0.03
G-CNNs 2024.06		90.2	-
EvGNN 2024.06		88	0.063
PointNet++ 2024.12		80.9	-
Gabor-SNN 2024.12		78.9	-
EventNet 2024.12		75	-
H-First 2024.06		56.1	-