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Models/R-ExplaiNet-26

R-ExplaiNet-26

Reported on 9 benchmarks across 1 task · 1 paper · 4 SOTA

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

Computer Vision9 results

Image ClassificationonFashion-MNIST
Trainable Parameters· 2024-10-31
892362
SOTA
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139
Image ClassificationonOracle-MNIST
Accuracy· 2024-10-31
96.93
best: 97.2 (ResNet-18 + Vision Eagle Attention)
SOTA
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139
Image ClassificationonOracle-MNIST
Trainable Parameters· 2024-10-31
892362
SOTA
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139
Image ClassificationonKuzushiji-MNIST
Trainable Parameters· 2024-10-31
892362
best: 2710000 (KMNIST-Mobile)
SOTA
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139
Image ClassificationonFashion-MNIST
Accuracy· 2024-10-31
93.45
best: 99.06 (pFedBreD_ns_mg)
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139
Image ClassificationonFashion-MNIST
Percentage error· 2024-10-31
6.55
best: 3.64 (PreAct-ResNet18 + FMix)
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139
Image ClassificationonCIFAR-10
Percentage correct· 2024-10-31
94.15
best: 99.5 (ViT-H/14)
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139
Image ClassificationonKuzushiji-MNIST
Accuracy· 2024-10-31
98.78
best: 99.35 (KMNIST-Tiny)
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139
Image ClassificationonKuzushiji-MNIST
Error· 2024-10-31
1.22
best: 0.85 (VGG-5 (Spinal FC))
Learning local discrete features in explainable-by-design convolutional neural networks arXiv:2411.00139