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Issues list

Kitti dataset
#58 opened Jun 15, 2024 by Rienzi0
stereo match code
#57 opened Jul 7, 2023 by ltfAutos
About the codebase of CSPN++
#56 opened Jan 30, 2023 by yifanjiang19
Question about affinity matrix
#54 opened Nov 3, 2022 by lizechng
Hello author, how should I use my own data to make training set and test set?
#53 opened Oct 24, 2022 by Pan-long-ming
Loss NaN when training on NYUv2
#52 opened Aug 15, 2022 by hit421
No module named 'base_model'
#51 opened Apr 15, 2022 by wxbs
2
the Pytorch model link of NYU Depth V2 (Fast Unpool, non-pos) is null?
#50 opened Nov 26, 2021 by Danica-zc
Bug in CSPN update step?
#49 opened Sep 28, 2021 by FrederikWarburg
How do I test on an image without GT data?
#48 opened Apr 24, 2021 by AlfieBrash
Has anyone tried this method for semantic segmentation? Does this work well?
#47 opened Mar 23, 2021 by luciaL
UpProj Module and Dead Codes in torch_resnet_cspn_nyu.py
#46 opened Mar 17, 2021 by I3aer
CUDA OOM
#44 opened Jan 14, 2021 by terechsama
why the result of my eval sample looks very bad with load the best_model.pth?
#40 opened Jul 31, 2020 by poseidonv
4
paddle.fluid.layers has no attribute affinity_propagate"
#39 opened Jun 22, 2020 by yonghuifan
Get nan value by using affinity model due to torch.div operation
#38 opened Jun 8, 2020 by JackMing1986
Pytorch model 404？
#37 opened Jan 10, 2020 by Crocs512
How to implement ACSPP?
#36 opened Jan 9, 2020 by t-taniai
Code for CSPN++?
#35 opened Dec 16, 2019 by huangxGo
eva_nyudepth script can not find cuda device
#34 opened Dec 9, 2019 by KimBenjaminTang
3
demo errors due to insufficient gpu ram or missing module paddle.fluid.core_avx?
#33 opened Dec 9, 2019 by KimBenjaminTang
作者你好，立体视觉（stereo matching）没找到，难道它是自由的吗
#30 opened Nov 7, 2019 by MJITG
3
How to guarantee that refined depths have the exact same value at those valid pixels in sparse depth map?
#29 opened Nov 7, 2019 by mqchen1993
3
Kitti Validation Results overfitting?
#27 opened Oct 9, 2019 by rancheng
2
other code proposed in your paper
#24 opened Aug 20, 2019 by qui-kwe
2
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