Image Classification on MNIST (Accuracy and FPGA Throughput)
99.35AccuracyLogicTreeNet-L
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LogicTreeNet-LGate Count=1.27 M2025.11 | 99.35 | — | |
| LogicTreeNet-MGate Count=566 K2025.11 | 99.23 | 200 | |
| LILogicNet-LGate Count=32 K2025.11 | 98.95 | 29.7 | |
| DWN(n=6)2025.11 | 98.77 | 22.2 | |
| DiffLogicNetGate Count=384 K2025.11 | 98.47 | — | |
| LogicTreeNet-SGate Count=147 K2025.11 | 98.46 | 250 | |
| LILogicNet-MGate Count=8 K2025.11 | 98.45 | 32.9 | |
| LILogicNet-SGate Count=4 K2025.11 | 97.96 | 40.1 | |
| DiffLogicNet-SGate Count=48 K2025.11 | 97.69 | — | |
| RV-LGNGate Count=18 K2025.11 | 95.8 | — | |
| eXpLogicGate Count=5 K2025.11 | 91.2 | — |