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xinge008
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Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
Apache License 2.0
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RuntimeError: cudaErrorIllegalAddress
#77
artofstate
closed
3 years ago
5
Why is the mIoU on the test set (67.8) higher than the mIoU on the validation set (65.9)?
#76
jialeli1
closed
3 years ago
2
Panotic Segmentation code release
#75
lfxx
closed
3 years ago
1
NuScenes multiple sweeps
#74
ShengyuH
closed
3 years ago
2
Visualization
#73
derkaczda
opened
3 years ago
16
the performance on different resolution dataset
#72
ImogenHua
closed
3 years ago
1
added Dockerfile
#71
derkaczda
closed
3 years ago
0
3D Detection
#70
vivi0604
closed
3 years ago
1
ERROR: Unexpected segmentation fault encountered in worker.
#69
owoshch
closed
3 years ago
1
cylinder_dataset和polar_dataset
#68
JingyangXiang
closed
3 years ago
2
nuscence 数据集
#67
hanjiangrui
opened
3 years ago
5
performance about nuscenes
#66
jackmsye
closed
3 years ago
1
Yexinyi
#65
yexinyinancy
opened
3 years ago
0
Training run - CUDA memory error
#64
guragamb
closed
3 years ago
1
Why calculate IoU from voxel label?
#63
jialeli1
closed
3 years ago
0
point wise loss
#62
caoyifeng001
closed
3 years ago
1
fast_hist
#61
chenzhenbupt
closed
3 years ago
1
How to inference on CPU?
#60
RESET0
closed
3 years ago
0
SPConv
#59
coallar
closed
3 years ago
1
expected input batch_size (6) to match target batch_size (2)
#58
caoyifeng001
closed
3 years ago
2
loss.backward() NotImplementedError
#57
XuechaoChen
closed
3 years ago
0
nuScenes dataset
#56
Youngsplace0913
closed
3 years ago
1
Is using pretrained models helpful?
#55
alrzmshy
closed
3 years ago
1
Inference is producing better results when the model is in ".train()" mode?
#54
Ammartauqir
closed
3 years ago
9
Training the model using multiple onboard GPUs?
#53
Ammartauqir
closed
3 years ago
2
DDCM Module
#52
Youngsplace0913
closed
3 years ago
2
Exact Environment Information
#51
vaydingul
closed
3 years ago
3
Does Spconv work with CPU?
#50
FrancescoMandru
closed
3 years ago
3
Add inference code
#49
ptzu
closed
3 years ago
1
Help with the point refinement module
#48
JBKnights
closed
3 years ago
4
Error in shape
#47
FrancescoMandru
closed
3 years ago
2
Input Data format for spconv modules
#46
FrancescoMandru
closed
3 years ago
2
A question
#45
jediofgever
closed
3 years ago
1
Expected mIoU of the pretrained checkpoint
#44
JBKnights
closed
3 years ago
3
weights of conv3 in UpBlock exist NAN
#43
cjyiiiing
closed
3 years ago
4
Cannot find point-wise prediction and loss function.
#42
mandal4
closed
3 years ago
2
Training speed
#41
chenpengxin
closed
3 years ago
3
Explain Cylindrical Projection
#40
FrancescoMandru
closed
3 years ago
2
Dockerfile
#39
FrancescoMandru
closed
3 years ago
1
Can you release the code about the test submission?
#38
longmalongma
closed
3 years ago
0
Low performance of motorcyclist and other-ground classes
#37
JBKnights
closed
3 years ago
1
What defines input value?
#36
mandal4
closed
3 years ago
1
How should I evaluate the model on the test set? You don’t seem to give the code for the test.
#35
Ayanami2019
closed
3 years ago
2
How to train multipleScan experiments on Semantic-KITTI
#34
Hao-HUST
closed
3 years ago
3
tee: logs_dir/cylinder_asym_networks_logs_tee.txt: No such file or directory ?
#33
mandal4
closed
3 years ago
2
training time
#32
lzhnb
closed
3 years ago
2
test.py
#31
libozan
closed
3 years ago
2
performance of SemanticKitti pre-trained model
#30
lqzhao
closed
3 years ago
10
details about point-wise refinement module
#29
cjyiiiing
closed
3 years ago
0
details about point-wise refinement module
#28
cjyiiiing
closed
3 years ago
11
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