MobileNet-v1 + LSQ + R2Loss

Reported on 1 benchmark across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology1 result

QuantizationonImageNet
Top-1 Accuracy (%)· 2023-03-14
69.64
best: 85.03 (FQ-ViT (ViT-L))
R2 Loss: Range Restriction Loss for Model Compression and Quantization arXiv:2303.08253