CNN+ Wilson-Cowan model RNN

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

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

Computer Vision4 results

Image ClassificationonFlowers (Tensorflow)
Accuracy· 2024-06-24
84.85
SOTA
Learning in Wilson-Cowan model for metapopulation arXiv:2406.16453
Image ClassificationonFashion-MNIST
Accuracy· 2024-06-24
91.35
best: 99.06 (pFedBreD_ns_mg)
Learning in Wilson-Cowan model for metapopulation arXiv:2406.16453
Image ClassificationonCIFAR-10
Percentage correct· 2024-06-24
86.59
best: 99.5 (ViT-H/14)
Learning in Wilson-Cowan model for metapopulation arXiv:2406.16453
Image ClassificationonMNIST
Accuracy· 2024-06-24
99.31
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
Learning in Wilson-Cowan model for metapopulation arXiv:2406.16453