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yun-liu
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RCF
Richer Convolutional Features for Edge Detection
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关于评估实验结果预处理的问题
#56
byteshen159
opened
5 years ago
7
loss question
#55
WWWJL
opened
5 years ago
6
咨询有关RCF代码得疑问
#54
youchangshi
opened
5 years ago
1
关于结果测试
#53
zzzzzz0407
opened
5 years ago
1
碰到 failded in when runtest 错误，怎么解决
#52
youchangshi
opened
5 years ago
1
windows caffe
#51
xiaotaofeng
opened
5 years ago
0
请教下rcf训练的一些问题
#50
piaobuliao
opened
5 years ago
20
Failed in model= loadcaffe.load('./models/deploy2_cheng.prototxt', './models/rcf_pretrained_bsds.caffemodel', 'nn'):
#49
huihuangzhao
opened
5 years ago
2
About loss
#48
zhangguanghui1
opened
6 years ago
1
Question about the parameters η and λ
#47
trungpv88
closed
6 years ago
2
about dataset
#46
81961916
opened
6 years ago
1
what should I do after get results through rcf-singlescale-nyud？？
#45
theonels
opened
6 years ago
6
How to create a web-accessible directory to contain the benchmark results?
#44
jiangyufeng77
opened
6 years ago
2
why choose multiscale 0.5 1 1.5
#43
leechow007
opened
6 years ago
6
Can we modify the parameters in edge_nms.m to improve the performance?
#42
mingqizhang
opened
6 years ago
1
To evaluate result on NYUD, where can we find test image's ground truth?
#41
CangHaiQingYue
closed
6 years ago
7
Evaluating result on NYUD.
#40
CangHaiQingYue
closed
6 years ago
0
train.sh
#39
81961916
opened
6 years ago
7
How to build caffe?
#38
lvdon
opened
6 years ago
2
some questions about the RCF-singlescale-NYUD.ipynb
#37
81961916
opened
6 years ago
3
Unknown layer type: ImageLabelmapData
#36
SeanSyue
closed
6 years ago
1
Some questions about train model using different datasets?
#35
mingqizhang
opened
6 years ago
1
about the singlescale
#34
81961916
opened
6 years ago
9
the result of side_output5 is bad
#33
CangHaiQingYue
closed
6 years ago
9
The problem when adding the auto_crop_layer of rcf into official caffe version
#32
xhzcyc
opened
6 years ago
6
Other algorithm's eval_result
#31
CangHaiQingYue
closed
6 years ago
2
Got error wile running RCF-singlescale.pynb
#30
athiselvam
opened
6 years ago
1
how to evaluate the result?
#29
Lavender105
opened
6 years ago
7
How can i do inference from NYUD trained model using python?
#28
athiselvam
opened
6 years ago
3
Train my own dataset
#27
Lavender105
opened
6 years ago
2
run ./train.sh loss is too big
#26
xcj-github
opened
6 years ago
1
It's so slow to train the default dataset "bsds_pascal_train_pair.lst". Is it normal?
#25
Lavender105
opened
6 years ago
3
Is AutoCrop layer only used in training or also in inference ? can i remove Autocrop layer in prototxt file while doing Inference?
#24
athiselvam
closed
6 years ago
6
Need deploy pototxt file
#23
athiselvam
opened
6 years ago
3
How to evaluate on BSDS500 benchmark?
#22
zchrissirhcz
closed
6 years ago
2
What is the difference between AutoCrop layer used here and traditional Crop layer used in HED and FCNs
#21
xuyuting45
opened
6 years ago
4
How to use edge_nms.m?
#20
mingqizhang
opened
6 years ago
5
Predict by CPU
#19
xurong1981
opened
6 years ago
6
about the NYUD result
#18
pkuCactus
closed
6 years ago
1
the NYUDV2 test GT
#17
pkuCactus
closed
6 years ago
2
About training processing
#16
xurong1981
opened
6 years ago
3
About training on GT
#15
xurong1981
closed
6 years ago
5
About cmake
#14
xurong1981
closed
6 years ago
4
how can i test my large image, about 3000*4000? should i resize it to small size?
#13
wanghuok
opened
6 years ago
3
Layer conv1_1 has unknown engine.
#12
wanghuok
closed
6 years ago
2
train.sh
#11
exampen
opened
6 years ago
3
train.sh
#10
exampen
opened
6 years ago
0
Build caffe: make runtest error
#9
exampen
opened
6 years ago
5
The hyper-parameter λ is to balance positive and negative samples.
#8
dingfg
opened
6 years ago
1
I wonder why each conv layer is connected to a conv layer with channel depth 21.
#7
MaFuyan
closed
6 years ago
7
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