GECCO

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 ClassificationonFashion-MNIST
Accuracy· 2024-02-01
88.09
best: 99.06 (pFedBreD_ns_mg)
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification arXiv:2402.00564
Image ClassificationonFashion-MNIST
Percentage error· 2024-02-01
11.91
best: 3.64 (PreAct-ResNet18 + FMix)
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification arXiv:2402.00564
Image ClassificationonMNIST
Accuracy· 2024-02-01
98.04
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification arXiv:2402.00564
Image ClassificationonMNIST
Percentage error· 2024-02-01
1.96
best: 0.13 (Branching/Merging CNN + Homogeneous Vector Capsules)
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification arXiv:2402.00564