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ethanhe42
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channel-pruning
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
https://arxiv.org/abs/1707.06168
MIT License
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Channel pruning in YOLOX
#128
AouatifZ
opened
2 years ago
1
Weight normalization
#127
julien-mille
opened
2 years ago
0
有tensorflow或者torch版本的吗?求推荐
#126
Salary-only-17k
closed
4 years ago
0
Why do I have this problem?
#125
ethanhe42
opened
4 years ago
0
KeyError: 'conv1_2_V'
#124
ethanhe42
opened
4 years ago
0
get stuck Extracting
#123
ethanhe42
closed
4 years ago
1
Question about MoBiNet
#122
hoangminhq5310
closed
4 years ago
1
Merge pull request #1 from yihui-he/master
#121
dreadlord1984
opened
5 years ago
0
关于测试出现的问题
#120
huoguangdiandian
opened
5 years ago
0
运行train.py出现问题
#119
huoguangdiandian
opened
5 years ago
3
prune Inception-V3
#118
xingyueye
opened
5 years ago
0
AMC: AutoML for resnet-50
#117
mrocr
closed
3 years ago
1
VGG Channel Pruning Parameters
#116
3DTOPO
opened
5 years ago
0
How do you test speed ratio?
#115
Levi-zhan
closed
5 years ago
0
Deep Neural Network Pruning Tools?
#114
hammadullah125
closed
5 years ago
1
Will it be possible to run these models in CPU? What changes to make?
#113
vinodganesan
closed
5 years ago
1
About CPU memory and run code with time consuming
#112
pangpanghuahuamaomi
closed
5 years ago
2
HI, @yihui-he ,i have a queation to ask you:
#111
pangpanghuahuamaomi
closed
5 years ago
0
GPU
#110
shiruipeng1985
closed
5 years ago
2
the model size is not descreased after channel pruning?
#109
Kanbo0409
closed
6 years ago
1
has AMC released?
#108
JPBoost
closed
6 years ago
4
tutorial question
#107
Androsimus
closed
6 years ago
2
inference time's Comparison : original vgg16 vs cVGG-16_3C4x
#106
peternara
closed
6 years ago
1
please help to understand the extract_features funtion in net.py
#105
BKZero
closed
5 years ago
2
Crashing while creating file `frozen500.pickle`
#104
ddfabbro
closed
6 years ago
1
splitrelu
#103
Li-Lai
closed
6 years ago
1
AttributeError: Can't pickle local object 'Worker.do.<locals>.job'
#102
GaoDoudou
closed
6 years ago
1
Would you please add some comment on the code?
#101
BKZero
closed
6 years ago
1
Help with loss curve of pruned model of vggnet that is finetuned
#100
arunnura123
opened
6 years ago
0
After channel pruning , a new net deploy.prototxt will be generated?
#99
gengwb
closed
6 years ago
1
Check failed: indices_to_forward_.size() == new_tops_num (64 vs. 35)?
#98
Eric-mingjie
closed
6 years ago
1
Cannot find “channel_pruning_VGG-16_3C4x.caffemodel "and" channel_pruning_VGG-16_3C4x.prototxt" in ”https://github.com/yihui-he/channel-pruning/releases/download/VGG-16_3C4x/channel_pruning_VGG-16_3C4x.zip"
#97
bbjy
closed
6 years ago
0
Check failed: height <= datum_height (224 vs. 107)
#96
JingliangGao
opened
6 years ago
0
Any available results on other models?
#95
wspba
closed
5 years ago
1
Channel pruning on ssd
#94
FWYsimon
opened
6 years ago
3
Excuse me, is there any version that support tensorflow ?
#93
LouiValley
closed
6 years ago
2
Accuracy is 0
#92
JinyangGuo
opened
6 years ago
0
Lasso Regression for Conv4_x required too much memory.
#91
mtyylx
closed
6 years ago
1
Message type "caffe.ImageDataParameter" has no field named "new_dim"
#90
zhao1995
closed
6 years ago
3
error == cudaSuccess (38 vs. 0) no CUDA-capable device is detected
#89
young-fire
closed
6 years ago
1
ResNet-50-2X Inference time larger than original ResNet50?
#88
HeavySword
closed
6 years ago
2
Does this project provide docker images?
#87
wdfnst
opened
6 years ago
0
Check failed: error == cudaSuccess (38 vs. 0) no CUDA-capable device is detected
#86
felix-liuying
opened
6 years ago
8
mobienet-ssd
#85
kaishijeng
closed
6 years ago
6
About the experimental results.
#84
wspba
closed
6 years ago
1
关于Process Process-3报错
#83
canteen-man
closed
6 years ago
2
processing time for channel-pruning
#82
ryusaeba
closed
6 years ago
1
How about python2.7
#81
Ai-is-light
closed
6 years ago
1
how can i Turn cb_3c_3C4x_mem_bn_vgg.prototxt into channel_pruning.prototxt ?
#80
alexqiaodan
closed
6 years ago
1
What is the sparsity of VGG-16 ?
#79
s0606757
closed
6 years ago
4
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