StiDi-BP in R-CSNN

Reported on 3 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 Vision3 results

Image ClassificationonFashion-MNIST
Accuracy· 2021-08-31
92.8
best: 99.06 (pFedBreD_ns_mg)
SOTA
Spike time displacement based error backpropagation in convolutional spiking neural networks arXiv:2108.13621
Image ClassificationonFashion-MNIST
Percentage error· 2021-08-31
7.2
best: 3.64 (PreAct-ResNet18 + FMix)
Spike time displacement based error backpropagation in convolutional spiking neural networks arXiv:2108.13621
Image ClassificationonMNIST
Accuracy· 2021-08-31
99.2
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
Spike time displacement based error backpropagation in convolutional spiking neural networks arXiv:2108.13621