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  4. Network Pruning On Imagenet Resnet 50 90

Network Pruning On Imagenet Resnet 50 90

评估指标

Top-1 Accuracy

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 Accuracy
Paper TitleRepository
Feather76.93Feather: An Elegant Solution to Effective DNN Sparsification-
AC/DC75.64AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks-
GMP73.91Soft Threshold Weight Reparameterization for Learnable Sparsity-
CS75.5Winning the Lottery with Continuous Sparsification-
ST-376.03Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?-
ProbMask74.68Effective Sparsification of Neural Networks with Global Sparsity Constraint-
STR74.31Soft Threshold Weight Reparameterization for Learnable Sparsity-
DNW74Discovering Neural Wirings-
Spartan76.17Spartan: Differentiable Sparsity via Regularized Transportation-
0 of 9 row(s) selected.
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