List your company
ResearchFormerly WizWand

Classification on Radar Signal Processing Dataset (5-fold CV)

98.4AccuracyCorNet-LECM
88.499291.069693.6496.2104May 6, 2026May 8, 2026May 10, 2026May 12, 2026May 14, 2026May 16, 2026May 18, 2026
Updated 5mo ago

Evaluation results

MethodLinks
CorNet-LECMManifold=Correlation, Training time per epoch=1.122026.0598.4
CorNet-ECMManifold=Correlation, Training time per epoch=1.012026.0597.71
CorNet-OLMManifold=Correlation, Training time per epoch=1.352026.0597.57
C-SPMEvaluation Architecture=Linear Probe2026.0596.87
LCEvaluation Architecture=Linear Probe2026.0596.77
θ-PCMEvaluation Architecture=Linear Probe, theta=0.52026.0596.6
S-SPMEvaluation Architecture=SPD MLR2026.0596.57
CorNet-PHCMManifold=Correlation, Training time per epoch=2.372026.0596.56
ALEM (Learnable)Evaluation Architecture=Linear Probe2026.0596.5
S-SPMEvaluation Architecture=Linear Probe2026.0596.33
LEEvaluation Architecture=Linear Probe2026.0596.3
GyroAI*Manifold=SPD, Training time per epoch=0.992026.0596.29
AIRMEvaluation Architecture=Linear Probe2026.0596.27
AIRMEvaluation Architecture=SPD MLR2026.0596.27
GyroLE*Manifold=SPD, Training time per epoch=0.792026.0596.24
CorNet-LSMManifold=Correlation, Training time per epoch=1.502026.0596.24
LCEvaluation Architecture=SPD MLR2026.0596.17
C-SPMEvaluation Architecture=SPD MLR2026.0596.17
LEEvaluation Architecture=SPD MLR2026.0596
θ-PCMEvaluation Architecture=SPD MLR, theta=0.52026.0595.93
SPDResNet-LEMManifold=SPD, Training time per epoch=0.772026.0595.89
ALEM (Learnable)Evaluation Architecture=SPD MLR2026.0595.8
SPDResNet-AIMManifold=SPD, Training time per epoch=0.962026.0595.71
SPDNetLieBN-AIMManifold=SPD, Training time per epoch=1.212026.0595.47
GyroSPD++*Manifold=SPD, Training time per epoch=5.092026.0595.2
SPDNetBNManifold=SPD, Training time per epoch=1.252026.0594.85
SPDNetLieBN-LCMManifold=SPD, Training time per epoch=1.102026.0594.8
SPDNetMLRManifold=SPD, Training time per epoch=0.662026.0594.59
GyroLC*Manifold=SPD, Training time per epoch=0.662026.0593.6
SPDNetManifold=SPD, Training time per epoch=0.662026.0593.25
S-SPMEvaluation Architecture=RResNet2026.0593.23
LCEvaluation Architecture=RResNet2026.0593.03
LEEvaluation Architecture=RResNet2026.0592.67
C-SPMEvaluation Architecture=RResNet2026.0592.4
ALEM (Learnable)Evaluation Architecture=RResNet2026.0592.1
θ-PCMEvaluation Architecture=RResNet, theta=-1.02026.0591.83
AIRMEvaluation Architecture=RResNet2026.0590.87
GyroGr*Manifold=Grassmann, Training time per epoch=1.382026.0590.64
GrNetManifold=Grassmann, Training time per epoch=1.392026.0590.48
GyroGr-Scaling*Manifold=Grassmann, Training time per epoch=1.632026.0588.88