Model Compression On Imagenet
평가 지표
Top-1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Top-1 |
|---|---|
| learned-step-size-quantization | 77.34 |
| learned-step-size-quantization | 77.878 |
| r-2-range-regularization-for-model | 53.99 |
| r-2-range-regularization-for-model | 70.52 |
| r-2-range-regularization-for-model | 68.63 |
| r-2-range-regularization-for-model | 67.62 |
| r-2-range-regularization-for-model | 52.58 |
| r-2-range-regularization-for-model | 66.1 |
| r-2-range-regularization-for-model | 61.4 |
| r-2-range-regularization-for-model | 64.7 |
| r-2-range-regularization-for-model | 59.7 |
| r-2-range-regularization-for-model | 69.63 |