VGG-5 (Spinal FC)

Reported on 4 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Image ClassificationonKuzushiji-MNIST
Accuracy· 2020-07-07
99.15
best: 99.35 (KMNIST-Tiny)
SOTA
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Image ClassificationonKuzushiji-MNIST
Error· 2020-07-07
0.85
SOTA
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Image ClassificationonMNIST
Accuracy· 2020-07-07
99.72
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Image ClassificationonMNIST
Percentage error· 2020-07-07
0.28
best: 0.13 (Branching/Merging CNN + Homogeneous Vector Capsules)
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347