ExquisiteNetV2

Reported on 3 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 Vision3 results

Image ClassificationonMNIST
Accuracy· 2021-05-19
99.71
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
A Novel lightweight Convolutional Neural Network, ExquisiteNetV2 arXiv:2105.09008
Image ClassificationonMNIST
Percentage error· 2021-05-19
0.29
best: 0.13 (Branching/Merging CNN + Homogeneous Vector Capsules)
A Novel lightweight Convolutional Neural Network, ExquisiteNetV2 arXiv:2105.09008
Image ClassificationonMNIST
Trainable Parameters· 2021-05-19
518230
best: 1882602 (Neural Architecture Search (NAS)-enabled Convolutional Neural Network (CNN))
A Novel lightweight Convolutional Neural Network, ExquisiteNetV2 arXiv:2105.09008