MCDNN

Reported on 2 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 Vision2 results

Image ClassificationonCIFAR-10
Percentage correct· 2012-02-13
88.8
best: 99.5 (ViT-H/14)
SOTA
Multi-column Deep Neural Networks for Image Classification arXiv:1202.2745
Image ClassificationonMNIST
Percentage error· 2012-02-13
0.23
best: 0.13 (Branching/Merging CNN + Homogeneous Vector Capsules)
SOTA
Multi-column Deep Neural Networks for Image Classification arXiv:1202.2745