fuy34/superpixel_fcn
[CVPR‘20] SpixelFCN: Superpixel Segmentation with Fully Convolutional Network
PythonNOASSERTION
Issues
- 5
- 0
Question about superpixel size setting
#49 opened by DevKPro - 2
- 4
Modification of superpixel size
#47 opened by Kitsmi - 2
Is there python 3 version demo?
#46 opened by RuoyuChen10 - 2
CUDA ERROR
#45 opened by Joazs - 0
- 3
ERROR:'../SPixelNet_nSpixel_864/map_csv: is a directory' when execute 'bash my_eval.sh'
#43 opened by zxcvbml - 1
Get BSDS train data for 300K epoch
#42 opened by Adnan1986 - 2
- 4
Why is the downsize 16?
#40 opened by daimaohui - 4
- 4
A rectangular grid appears in the test results
#38 opened by BJHYZJ - 7
why the results looks mosaic
#21 opened by liuxy1103 - 2
Cuda9.0
#37 opened by ShamsaHasnain - 5
About The loss
#36 opened by BanaBanaBanaa - 12
About slic_loss
#34 opened by BanaBanaBanaa - 2
About the downstream task
#35 opened by BanaBanaBanaa - 3
train for rgb or lab?
#33 opened by Cherished-l - 5
- 3
- 1
hello
#30 opened by hetiansheng123 - 2
About PSMNet
#6 opened by honeyhoney979 - 0
How to get large or tiny superpixels?
#29 opened by sunshineatnoon - 2
- 2
- 2
Color loss - unlearning superpixels
#26 opened by Goldyy - 1
requirements.txt is missing
#24 opened by youyeg - 1
problem with the new GPUs
#25 opened by youyeg - 4
Convergence criteria
#23 opened by jibrilmuhammadadam - 3
Can I chose my own superpixels?
#19 opened by RenzeLou - 0
about the downsampling
#22 opened by Goldyy - 1
What does the unique map mean?
#17 opened by Juvexyy - 0
- 0
Can I chose my own superpixels?
#18 opened by RenzeLou - 1
- 2
About loss function
#15 opened - 3
training with custom datasets
#12 opened by ntaro0312 - 1
- 2
About inference
#11 opened by liuxy1103 - 2
- 5
Code for SLIC loss?
#10 opened by sunshineatnoon - 2
About the Prerequisites
#9 opened by tomoohive - 2
Problem on Stereo Matching Visualization code
#8 opened by lokiii6 - 2
Results of other methods
#7 opened by moothes - 2
label2one_hot_torch may have bug
#5 opened by feivelliu - 2
The meaning of variable "prob" used in functions "poolfeat()" and "upfeat()" seems inconsistent
#4 opened by wrccrwx - 2
About the time spent in training
#2 opened by Ecalpal - 1
Experiments on Semantic Segmentation.
#1 opened by PkuRainBow