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SOTA
Model Compression
Model Compression On Imagenet
Model Compression On Imagenet
Metrics
Top-1
Results
Performance results of various models on this benchmark
Columns
Model Name
Top-1
Paper Title
ADLIK-MO-ResNet50+W4A4
77.878
Learned Step Size Quantization
ADLIK-MO-ResNet50+W3A4
77.34
Learned Step Size Quantization
ResNet-18 + 4bit-1dim model compression using DKM
70.52
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 4bit-1dim model compression using DKM
69.63
R2 Loss: Range Restriction Loss for Model Compression and Quantization
ResNet-18 + 2bit-1dim model compression using DKM
68.63
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 2bit-1dim model compression using DKM
67.62
R2 Loss: Range Restriction Loss for Model Compression and Quantization
ResNet-18 + 4bit-4dim model compression using DKM
66.1
R2 Loss: Range Restriction Loss for Model Compression and Quantization
ResNet-18 + 2bit-2dim model compression using DKM
64.7
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 4bit-4dim model compression using DKM
61.4
R2 Loss: Range Restriction Loss for Model Compression and Quantization
ResNet-18 + 1bit-1dim model compression using DKM
59.7
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 2bit-2dim model compression using DKM
53.99
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 1bit-1dim model compression using DKM
52.58
R2 Loss: Range Restriction Loss for Model Compression and Quantization
0 of 12 row(s) selected.
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HyperAI
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Command Palette
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SOTA
Model Compression
Model Compression On Imagenet
Model Compression On Imagenet
Metrics
Top-1
Results
Performance results of various models on this benchmark
Columns
Model Name
Top-1
Paper Title
ADLIK-MO-ResNet50+W4A4
77.878
Learned Step Size Quantization
ADLIK-MO-ResNet50+W3A4
77.34
Learned Step Size Quantization
ResNet-18 + 4bit-1dim model compression using DKM
70.52
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 4bit-1dim model compression using DKM
69.63
R2 Loss: Range Restriction Loss for Model Compression and Quantization
ResNet-18 + 2bit-1dim model compression using DKM
68.63
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 2bit-1dim model compression using DKM
67.62
R2 Loss: Range Restriction Loss for Model Compression and Quantization
ResNet-18 + 4bit-4dim model compression using DKM
66.1
R2 Loss: Range Restriction Loss for Model Compression and Quantization
ResNet-18 + 2bit-2dim model compression using DKM
64.7
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 4bit-4dim model compression using DKM
61.4
R2 Loss: Range Restriction Loss for Model Compression and Quantization
ResNet-18 + 1bit-1dim model compression using DKM
59.7
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 2bit-2dim model compression using DKM
53.99
R2 Loss: Range Restriction Loss for Model Compression and Quantization
MobileNet-v1 + 1bit-1dim model compression using DKM
52.58
R2 Loss: Range Restriction Loss for Model Compression and Quantization
0 of 12 row(s) selected.
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Model Compression On Imagenet | SOTA | HyperAI