Image Classification on SynDigits-LT gamma=50
89.8AccuracyEmaQ-LT
Evaluation Results
| Method | Links | |
|---|---|---|
| EmaQ-LTBackbone=ResNet-20, Quantization Bits=4-bit2026.06 | 89.8 | |
| EmaQ-LTBackbone=ResNet-20, Quantization Bits=2-bit2026.06 | 88.9 | |
| Meta AugBackbone=ResNet-20, Quantization Bits=4-bit2026.06 | 88.32 | |
| Choi et al.Backbone=ResNet-20, Quantization Bits=4-bit2026.06 | 88 | |
| ZeroQBackbone=ResNet-20, Quantization Bits=4-bit2026.06 | 87.4 | |
| ZAQBackbone=ResNet-20, Quantization Bits=4-bit2026.06 | 85.75 | |
| EmaQ-LTBackbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 85.5 | |
| LLSQBackbone=ResNet-20, Quantization Bits=4-bit2026.06 | 84.2 | |
| ZAQBackbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 83.3 | |
| EmaQ-LTBackbone=MobileNet-V2, Quantization Bits=2-bit2026.06 | 83.2 | |
| Meta AugBackbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 82.1 | |
| ZeroQBackbone=ResNet-20, Quantization Bits=2-bit2026.06 | 75 | |
| Choi et al.Backbone=ResNet-20, Quantization Bits=2-bit2026.06 | 74 | |
| ZeroQBackbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 63.35 | |
| Choi et al.Backbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 61.15 | |
| BatchQuantBackbone=ResNet-20, Quantization Bits=2-bit2026.06 | 59.3 | |
| BatchQuantBackbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 58.67 | |
| BatchQuantBackbone=ResNet-20, Quantization Bits=4-bit2026.06 | 57.3 | |
| BatchQuantBackbone=MobileNet-V2, Quantization Bits=2-bit2026.06 | 57.3 | |
| Meta AugBackbone=ResNet-20, Quantization Bits=2-bit2026.06 | 50.86 | |
| LLSQBackbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 40.6 | |
| EMQNetBackbone=ResNet-20, Quantization Bits=2-bit2026.06 | 19.61 | |
| EMQNetBackbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 19.6 | |
| EMQNetBackbone=MobileNet-V2, Quantization Bits=2-bit2026.06 | 19.6 | |
| Meta AugBackbone=MobileNet-V2, Quantization Bits=2-bit2026.06 | 19.59 | |
| EMQNetBackbone=ResNet-20, Quantization Bits=4-bit2026.06 | 19.59 | |
| ZAQBackbone=MobileNet-V2, Quantization Bits=2-bit2026.06 | 18.25 | |
| QwTBackbone=ResNet-20, Quantization Bits=4-bit2026.06 | 17.67 | |
| QwTBackbone=ResNet-20, Quantization Bits=2-bit2026.06 | 15.09 | |
| QwTBackbone=MobileNet-V2, Quantization Bits=4-bit2026.06 | 12.81 | |
| QwTBackbone=MobileNet-V2, Quantization Bits=2-bit2026.06 | 10.77 |