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valeoai
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xmuda
Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation
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Loss NaN
#23
DouGuangjian
opened
1 year ago
0
Visualizing test results
#22
vkg2001
closed
1 year ago
2
help
#21
shuchao97
opened
2 years ago
5
how to visualize test results
#20
shuchao97
closed
2 years ago
1
Torch not compiled with CUDA enabled
#19
Eaton2022
closed
2 years ago
1
Question related to performance
#18
dlsrbgg33
closed
3 years ago
4
About the requirement of GPU resources.
#17
Solacex
closed
3 years ago
2
The implementation detail of Deep logCORAL
#16
YuXing3d
closed
3 years ago
4
Info about 3D segmentation module
#15
saltoricristiano
closed
3 years ago
1
different lidar points density between a2d2 and semantickitti
#14
huixiancheng
closed
3 years ago
2
AssertionError when generating pseudo labels
#13
YukangWang
closed
3 years ago
2
Pseudo label generation part
#12
torchlidar
closed
3 years ago
1
nuScenes dataset
#11
torchlidar
closed
4 years ago
1
KeyError: 'Tr' reported
#10
weiliuxm
closed
4 years ago
2
Selecting highly confident labels for pseudo label generation
#9
weiliuxm
closed
4 years ago
3
about augment_and_scale_3d
#8
iris0329
closed
4 years ago
2
Current code does not support pseudo label generation for target training set
#7
chester256
closed
4 years ago
1
The "PL" experiment
#6
chester256
closed
4 years ago
4
The code of Vanilla Fusion or xMUDA Fusion?
#5
weiliuxm
closed
4 years ago
8
The coordinates are not on GPU
#4
chester256
closed
4 years ago
2
Segmentation fault
#3
luck528
closed
4 years ago
7
error about preprocessing
#2
AmingWu
closed
4 years ago
1
Training Time
#1
AmingWu
closed
4 years ago
1