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haomo-ai
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MotionSeg3D
[IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
https://npucvr.github.io/MotionSeg3D/
GNU General Public License v3.0
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预训练模型输出结果错误
#26
noobth1nker
closed
3 months ago
9
warnings.warn(F64_PRECISION_WARNING)
#25
noobth1nker
closed
4 months ago
6
Do I need to generate residual images for the test sequence?
#24
Lizhijian-123
closed
6 months ago
5
About MGA module
#23
Cyh0408
closed
12 months ago
1
Transform from history frame to current frame
#22
Ianpengg
closed
1 year ago
14
Memory leak when preprocessing the lidar data
#21
Ianpengg
closed
1 year ago
3
Training on other datasets
#20
Ianpengg
closed
1 year ago
4
Differences between v1 and v2 versions
#19
Liansheng-Wang
closed
1 year ago
1
There are differences between model reasoning and the results of the paper
#18
Liansheng-Wang
closed
1 year ago
1
Cloud I use this project with other SLAM systems
#17
ghost
closed
1 year ago
0
Cloud I use this project with other SLAM systems
#16
ghost
closed
1 year ago
4
how to get the moving labels?
#15
beyounged
closed
1 year ago
7
where is the .pth?
#14
beyounged
closed
1 year ago
1
questions about evaluation and learning map in label config
#13
Terminal-K
closed
1 year ago
3
about evaluation
#12
QYChan
closed
1 year ago
1
About the pretrained model
#11
Terminal-K
closed
1 year ago
6
Removing remission?
#10
jonbakerfish
closed
1 year ago
2
model output is NAN for toy dataset
#9
jonbakerfish
closed
1 year ago
8
test
#8
Devin-Pi
closed
1 year ago
1
About the annotation of KITTI-Road-MOS
#7
Terminal-K
closed
1 year ago
2
loss is nan
#6
fengluodb
closed
2 years ago
26
auto_gen_residual_images.py missed the sequence10
#5
fengluodb
closed
2 years ago
2
Ques about PointHead？
#4
huixiancheng
closed
2 years ago
7
MetaKernel annotation error
#3
fengluodb
opened
2 years ago
1
heisai lidar data process
#2
fengluodb
closed
2 years ago
2
A problem of softpool install
#1
MaxShi007
closed
2 years ago
1