MobileNetV1-50% FLOPs

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

Network PruningonImageNet
Accuracy· 2020-07-06
70.7
best: 78.79 (ResNet50-2.3 GFLOPs)
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning arXiv:2007.02491