PathNet
Reported on 7 benchmarks across 2 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Graphs6 results
- Accuracy (%)65.71
- Accuracy (%)91.35
- Accuracy (%)77.98
- Accuracy (%)88.92
- Accuracy (%)76.97
- Accuracy (%)71.69
Methodology1 result
- Acc· 2017-01-300.5764best: 0.7564 (CAT (CNN backbone))