NVlabs ssn_superpixels issues

NVlabs / ssn_superpixels

Superpixel Sampling Networks (ECCV2018)

https://varunjampani.github.io/ssn/

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extract the features of the superpixel area

#38 xwcUP opened 10 months ago
0
custom training

#37 Zampal94 closed 3 years ago
1
Pytorch Implementation License

#36 andrewsonga opened 3 years ago
0
Superpixel border issue on BSDS500 dataset

#35 yuanqqq closed 3 years ago
5
about the label and loss

#34 nmvbxcz closed 4 years ago
2
Question of the function of spix_init

#33 yueyu-stu closed 4 years ago
2
how to run the code???

#32 cyy1426 closed 4 years ago
1
Why is random cropping / patching and random scaling applied continuously throughout training?

#31 ghost closed 4 years ago
1
F0630 15:37:53.939426 12256 math_functions.cu:79] Check failed: error == cudaSuccess (74 vs. 0) misaligned address *** Check failure stack trace: ***

#30 ZubairKhan001 opened 4 years ago
0
I cannot understand “n*9” mentioned in the paper

#29 TakeruIto closed 4 years ago
1
The implementation of pytorch version

#28 CYang0515 closed 4 years ago
6
what does the training loss curve look like

#27 ghost opened 5 years ago
5
Some questions on source code

#26 Bobholamovic closed 5 years ago
7
about Evaluation

#25 lokiii6 closed 5 years ago
1
Some question about initialization of group conv layer 'concat_spixel_feat_50'

#24 yuzhegao closed 5 years ago
3
input image size different for training and testing on the BSDS500 dataset??

#23 ghost closed 5 years ago
1
About some custom caffe layer ?

#22 yuzhegao closed 5 years ago
3
where to install Caffe inside "ssn_superpixels"

#21 ghost closed 5 years ago
2
some question of paper about training

#20 yuzhegao closed 5 years ago
4
Aboutn

#19 yuzhegao closed 5 years ago
0
Questions about semantic segmentation testing

#18 Yajha closed 5 years ago
2
Some confusion about training with label

#17 forrestsz closed 5 years ago
1
Presence of hard association in the compactness portion of loss function

#16 ghost closed 5 years ago
1
caffe build configuration？

#15 WenqiangX closed 5 years ago
1
superpixel results

#14 zicair closed 5 years ago
5
converge very slowly

#13 jiayusun closed 5 years ago
2
Training with self-made dataset

#12 ShaneZHOU1994 closed 5 years ago
4
The BSDS result from the pre-trained model does not match the paper one

#11 ghost closed 5 years ago
13
Is there any pytorch version of this work ?

#10 ahmedmazariML closed 5 years ago
1
About the weights of the loss function

#9 ghost closed 5 years ago
4
dataset

#8 Eileen2014 closed 5 years ago
1
Test for city_scapes dataset?

#7 Wanger-SJTU closed 6 years ago
2
h_grid, w_grid is not used

#6 iliadsouti closed 6 years ago
1
when i run your code using pycharm,the error is..

#5 farm365 closed 6 years ago
2
optical flow network

#4 texastone closed 6 years ago
2
Question About your paper

#3 lxtGH closed 6 years ago
3
How can l get the features vector associated to each superpixel ?

#2 pinkfloyd06 closed 6 years ago
3
optical flow with superpixel

#1 xiaofanglegoc closed 6 years ago
4