PCANet

Reported on 2 benchmarks across 1 task · 1 paper

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· 2014-04-14
78.7
best: 99.5 (ViT-H/14)
PCANet: A Simple Deep Learning Baseline for Image Classification?arXiv:1404.3606
Image ClassificationonMNIST
Percentage error· 2014-04-14
0.6
best: 0.13 (Branching/Merging CNN + Homogeneous Vector Capsules)
PCANet: A Simple Deep Learning Baseline for Image Classification?arXiv:1404.3606