ReActNet-18

Reported on 2 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 Vision2 results

Image ClassificationonCIFAR-10
Percentage correct· 2021-04-16
92.08
best: 99.5 (ViT-H/14)
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization arXiv:2104.08215
Image ClassificationonCIFAR-100
Percentage correct· 2021-04-16
68.34
best: 96.08 (EffNet-L2 (SAM))
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization arXiv:2104.08215