Network Pruning on ImageNet

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Augmentations	Paper	Date↕	Code
1	ResNet50-2.3 GFLOPs	78.79	No	Pruning Filters for Efficient ConvNets	2016-08-31	Code
2	ResNet50-1.5 GFLOPs	78.07	No	Pruning Filters for Efficient ConvNets	2016-08-31	Code
3	ResNet50 2.5 GFLOPS	78	No	Knapsack Pruning with Inner Distillation	2020-02-19	Code
4	RegX-1.6G	77.97	No	Group Fisher Pruning for Practical Network Compr...	2021-08-02	Code
5	ResNet50 2.0 GFLOPS	77.7	No	Knapsack Pruning with Inner Distillation	2020-02-19	Code
6	ResNet50-3G FLOPs	77.1	No	EagleEye: Fast Sub-net Evaluation for Efficient ...	2020-07-06	Code
7	ResNet50-2G FLOPs	76.4	No	EagleEye: Fast Sub-net Evaluation for Efficient ...	2020-07-06	Code
8	ResNet50-1G FLOPs	76.376	No	Pruning Filters for Efficient ConvNets	2016-08-31	Code
9	TAS-pruned ResNet-50	76.2	No	Network Pruning via Transformable Architecture S...	2019-05-23	Code
10	ResNet50	75.59	No	Network Pruning That Matters: A Case Study on Re...	2021-05-07	Code
11	ResNet50-1G FLOPs	74.2	No	EagleEye: Fast Sub-net Evaluation for Efficient ...	2020-07-06	Code
12	ResNet50-1G FLOPs	74.2	No	EagleEye: Fast Sub-net Evaluation for Efficient ...	2020-07-06	Code
13	MobileNetV2	73.42	No	Group Fisher Pruning for Practical Network Compr...	2021-08-02	Code
14	ResNet50	73.14	No	AC/DC: Alternating Compressed/DeCompressed Train...	2021-06-23	Code
15	MobileNetV1-50% FLOPs	70.7	No	EagleEye: Fast Sub-net Evaluation for Efficient ...	2020-07-06	Code