| model-compression-on-imagenet | MobileNet-v1 + 1bit-1dim model compression using DKM | – | Top-1: 52.58 |
| model-compression-on-imagenet | MobileNet-v1 + 2bit-1dim model compression using DKM | – | Top-1: 67.62 |
| model-compression-on-imagenet | MobileNet-v1 + 2bit-2dim model compression using DKM | – | Top-1: 53.99 |
| model-compression-on-imagenet | MobileNet-v1 + 4bit-1dim model compression using DKM | – | Top-1: 69.63 |
| model-compression-on-imagenet | MobileNet-v1 + 4bit-4dim model compression using DKM | – | Top-1: 61.4 |
| model-compression-on-imagenet | ResNet-18 + 1bit-1dim model compression using DKM | – | Top-1: 59.7 |
| model-compression-on-imagenet | ResNet-18 + 2bit-1dim model compression using DKM | – | Top-1: 68.63 |
| model-compression-on-imagenet | ResNet-18 + 2bit-2dim model compression using DKM | – | Top-1: 64.7 |
| model-compression-on-imagenet | ResNet-18 + 4bit-1dim model compression using DKM | – | Top-1: 70.52 |
| model-compression-on-imagenet | ResNet-18 + 4bit-4dim model compression using DKM | – | Top-1: 66.1 |
| quantization-on-imagenet | MobileNet-v1 + EWGS + R2Loss | – | Top-1 Accuracy (%): 69.79Weight bits: 4 |
| quantization-on-imagenet | MobileNet-v1 + LSQ + R2Loss | – | Top-1 Accuracy (%): 69.64 |
| quantization-on-imagenet | ResNet-18 + PACT + R2Loss | – | Top-1 Accuracy (%): 68.45Weight bits: 2Activation bits: 4 |