ANODE

Reported on 4 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 Vision4 results

Image ClassificationonCIFAR-10
Percentage correct· 2019-04-02
60.6
best: 99.5 (ViT-H/14)
Augmented Neural ODEs arXiv:1904.01681
Image ClassificationonMNIST
Accuracy· 2019-04-02
98.2
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
Augmented Neural ODEs arXiv:1904.01681
Image ClassificationonMNIST
Percentage error· 2019-04-02
1.8
best: 0.13 (Branching/Merging CNN + Homogeneous Vector Capsules)
Augmented Neural ODEs arXiv:1904.01681
Image ClassificationonSVHN
Percentage error· 2019-04-02
16.5
best: 1 (E2E-M3)
Augmented Neural ODEs arXiv:1904.01681