VGG-5(Spinal FC)

Reported on 4 benchmarks across 1 task · 1 paper · 3 SOTA

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

Computer Vision4 results

Image ClassificationonEMNIST-Balanced
Accuracy· 2020-07-07
91.05
best: 91.48 (EMNIST-mobile)
SOTA
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Image ClassificationonEMNIST-Letters
Accuracy· 2020-07-07
95.88
best: 95.96 (WaveMixLite-112/16)
SOTA
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Image ClassificationonEMNIST-Digits
Accuracy (%)· 2020-07-07
99.75
best: 99.82 (WaveMixLite-112/16)
SOTA
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347
Image ClassificationonEMNIST-Balanced
Trainable Parameters· 2020-07-07
3630000
best: 3646000 (VGG-5)
SpinalNet: Deep Neural Network with Gradual Input arXiv:2007.03347