Image Classification on ImageNet (val) (Top-1 Quantization and Drop Analysis)
71.08Top-1 Accuracy (Full Precision)OMPQ
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| OMPQBackbone=ResNet18, W-bit=3MP, A-bit=8, Searching Data=642025.08 | 71.08 | 69.94 | -1.14 | |
| DNASBackbone=ResNet18, W-bit=3MP, A-bit=3MP, BitOps(G)=25.382025.08 | 71 | 68.7 | -2.3 | |
| SPOSBackbone=ResNet18, W-bit=3MP, A-bit=3MP, BitOps(G)=21.922025.08 | 70.9 | 69.4 | -1.5 | |
| InfoQBackbone=ResNet18, W-bit=3MP, A-bit=8, Searching Data=48002025.08 | 70.6 | 70.94 | 0.34 | |
| InfoQBackbone=ResNet18, W-bit=3MP, A-bit=3MP, BitOps(G)=23.04, Searching Data=48002025.08 | 70.6 | 69.99 | -0.61 | |
| LIMPQBackbone=ResNet18, W-bit=3MP, A-bit=3MP, BitOps(G)=23.07, Searching Data=0.6M, First layer activation quantized=false2025.08 | 70.5 | 69.7 | -0.8 | |
| PACTBackbone=ResNet18, W-bit=3, A-bit=3, BitOps(G)=23.092025.08 | 70.4 | 68.1 | -2.3 | |
| LQ-NetsBackbone=ResNet18, W-bit=3, A-bit=322025.08 | 70.3 | 69.3 | -1 | |
| LQ-NetsBackbone=ResNet18, W-bit=4, A-bit=322025.08 | 70.3 | 70 | -0.3 | |
| LQ-NetsBackbone=ResNet18, W-bit=3, A-bit=3, BitOps(G)=23.092025.08 | 70.3 | 68.2 | -2.1 | |
| AutoQBackbone=ResNet18, W-bit=3MP, A-bit=3MP2025.08 | 69.9 | 67.5 | -2.4 | |
| NiceBackbone=ResNet18, W-bit=3, A-bit=3, BitOps(G)=23.092025.08 | 69.8 | 67.7 | -2.1 | |
| MPQCOBackbone=ResNet18, W-bit=3MP, A-bit=32, Searching Data=10242025.08 | 69.76 | 69.5 | -0.26 | |
| MPQCOBackbone=ResNet18, W-bit=3MP, A-bit=8, Searching Data=10242025.08 | 69.76 | 69.39 | -0.37 |