HyperAI超神经

Model Compression On Imagenet

评估指标

Top-1

评测结果

各个模型在此基准测试上的表现结果

模型名称
Top-1
Paper TitleRepository
ADLIK-MO-ResNet50+W3A477.34Learned Step Size Quantization
ADLIK-MO-ResNet50+W4A477.878Learned Step Size Quantization
MobileNet-v1 + 2bit-2dim model compression using DKM53.99R2 Loss: Range Restriction Loss for Model Compression and Quantization-
ResNet-18 + 4bit-1dim model compression using DKM70.52R2 Loss: Range Restriction Loss for Model Compression and Quantization-
ResNet-18 + 2bit-1dim model compression using DKM68.63R2 Loss: Range Restriction Loss for Model Compression and Quantization-
MobileNet-v1 + 2bit-1dim model compression using DKM67.62R2 Loss: Range Restriction Loss for Model Compression and Quantization-
MobileNet-v1 + 1bit-1dim model compression using DKM52.58R2 Loss: Range Restriction Loss for Model Compression and Quantization-
ResNet-18 + 4bit-4dim model compression using DKM66.1R2 Loss: Range Restriction Loss for Model Compression and Quantization-
MobileNet-v1 + 4bit-4dim model compression using DKM61.4R2 Loss: Range Restriction Loss for Model Compression and Quantization-
ResNet-18 + 2bit-2dim model compression using DKM64.7R2 Loss: Range Restriction Loss for Model Compression and Quantization-
ResNet-18 + 1bit-1dim model compression using DKM59.7R2 Loss: Range Restriction Loss for Model Compression and Quantization-
MobileNet-v1 + 4bit-1dim model compression using DKM69.63R2 Loss: Range Restriction Loss for Model Compression and Quantization-
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