Image Classification on ImageNet (val) (Accuracy and Training Configuration)
74.52Top-1 AccuracyFP32
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| FP32Model=resnet50, bits=42024.08 | 74.52 | 10 | 1.2 | |
| BRECQModel=resnet50, bits=42024.08 | 73.88 | 10 | 1,024 | |
| LSQModel=resnet50, bits=42024.08 | 73.84 | 10 | 1.2 | |
| DSQModel=resnet50, bits=42024.08 | 73.39 | 10 | 1.2 | |
| CoRaModel=resnet50, bits=42024.08 | 72.85 | 10 | 1,600 | |
| AdaRoundModel=resnet50, bits=42024.08 | 72.81 | 10 | 2,048 | |
| CoRaModel=resnet50, bits=32024.08 | 72.81 | 10 | 1,600 | |
| AdaQuantModel=resnet50, bits=42024.08 | 72.8 | 10 | 1,000 | |
| AdaRoundModel=resnet50, bits=32024.08 | 71.06 | 10 | 2,048 | |
| BRECQModel=resnet50, bits=32024.08 | 70.87 | 10 | 1,024 | |
| LSQModel=resnet18, bits=42024.08 | 67.89 | 10 | 1.2 | |
| FP32Model=resnet18, bits=42024.08 | 67.32 | 10 | 1.2 | |
| DSQModel=resnet18, bits=42024.08 | 66.99 | 10 | 1.2 | |
| BRECQModel=resnet18, bits=42024.08 | 66.96 | 10 | 1,024 | |
| LSQModel=resnet18, bits=32024.08 | 66.13 | 10 | 1.2 | |
| BRECQModel=resnet18, bits=32024.08 | 66.12 | 10 | 1,024 | |
| PACTModel=resnet18, bits=42024.08 | 66.08 | 10 | 1.2 | |
| DoReFa-NetModel=resnet18, bits=42024.08 | 65.99 | 10 | 1.2 | |
| AdaQuantModel=resnet50, bits=32024.08 | 65.43 | 10 | 1,000 | |
| PACTModel=resnet18, bits=32024.08 | 65.31 | 10 | 1.2 | |
| CoRaModel=resnet18, bits=42024.08 | 65.23 | 10 | 1,600 | |
| AdaQuantModel=resnet18, bits=42024.08 | 65.18 | 10 | 1,000 | |
| AdaRoundModel=resnet18, bits=42024.08 | 65.08 | 10 | 2,048 | |
| CoRaModel=resnet18, bits=32024.08 | 64.5 | 10 | 1,600 | |
| AdaRoundModel=resnet18, bits=32024.08 | 64.47 | 10 | 2,048 | |
| AdaQuantModel=resnet18, bits=32024.08 | 55.04 | 10 | 1,000 |