Image Classification on CIFAR-10 (Accuracy, Throughput)
86.21AccuracyLogicTreeNet-G
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LogicTreeNet-GGate Count=61 M2025.11 | 86.21 | — | |
| DiffLogicNet-XLGate Count=5.12 M2025.11 | 62.14 | — | |
| LILogicNet-LGate Count=256 K2025.11 | 60.98 | — | |
| DiffLogicNet-LGate Count=1.28 M2025.11 | 60.78 | — | |
| LogicTreeNet-SGate Count=400 K2025.11 | 60.38 | 111.1 | |
| LILogicNet-MGate Count=64 K2025.11 | 57.66 | — | |
| DWN(n=2)2025.11 | 57.51 | 468 | |
| DWN(n=6)2025.11 | 57.42 | 468 | |
| DiffLogicNet-MGate Count=512 K2025.11 | 57.39 | — | |
| LILogicNet-SGate Count=8 K2025.11 | 55.11 | 31.2 | |
| RV-LGNGate Count=36 K2025.11 | 51.3 | — | |
| DiffLogicNet-SGate Count=48 K2025.11 | 51.27 | — |