Network Pruning on ImageNet

Metric: GFLOPs (higher is better)

LeaderboardDataset

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#	Model↕	GFLOPs▼	Augmentations	Paper	Date↕	Code
1	ResNet50 2.5 GFLOPS	2.5	No	Knapsack Pruning with Inner Distillation	2020-02-19	Code
2	ResNet50-2.3 GFLOPs	2.335	No	Pruning Filters for Efficient ConvNets	2016-08-31	Code
3	TAS-pruned ResNet-50	2.3	No	Network Pruning via Transformable Architecture S...	2019-05-23	Code
4	ResNet50 2.0 GFLOPS	2	No	Knapsack Pruning with Inner Distillation	2020-02-19	Code
5	ResNet50-1.5 GFLOPs	1.635	No	Pruning Filters for Efficient ConvNets	2016-08-31	Code
6	RegX-1.6G	1.588	No	Group Fisher Pruning for Practical Network Compr...	2021-08-02	Code
7	ResNet50-1G FLOPs	1.075	No	Pruning Filters for Efficient ConvNets	2016-08-31	Code
8	MobileNetV2	0.29	No	Group Fisher Pruning for Practical Network Compr...	2021-08-02	Code

#1ResNet50 2.5 GFLOPSSOTA
2.5
GFLOPs· 2020-02-19
Knapsack Pruning with Inner Distillation Code
#2ResNet50-2.3 GFLOPsSOTA
2.335
GFLOPs· 2016-08-31
Pruning Filters for Efficient ConvNets Code
#3TAS-pruned ResNet-50
2.3
GFLOPs· 2019-05-23
Network Pruning via Transformable Architecture Search Code
#4ResNet50 2.0 GFLOPS
2
GFLOPs· 2020-02-19
Knapsack Pruning with Inner Distillation Code
#5ResNet50-1.5 GFLOPs
1.635
GFLOPs· 2016-08-31
Pruning Filters for Efficient ConvNets Code
#6RegX-1.6G
1.588
GFLOPs· 2021-08-02
Group Fisher Pruning for Practical Network Compression Code
#7ResNet50-1G FLOPs
1.075
GFLOPs· 2016-08-31
Pruning Filters for Efficient ConvNets Code
#8MobileNetV2
0.29
GFLOPs· 2021-08-02
Group Fisher Pruning for Practical Network Compression Code