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Nightmare-n
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GD-MAE
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds (CVPR 2023)
Apache License 2.0
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GraphVoI model perfroms worse on datasets other than KITTI
#24
rajeev-gupta-bashrc
opened
1 month ago
3
关于Graph-VoI 的测试结果
#23
yingyang-1
closed
4 months ago
1
KITTI dataset error
#22
Jasookii
opened
5 months ago
0
Loss fluctuation during pretraining
#21
sinatayebati
opened
7 months ago
1
关于graph r-cnnn模型
#20
zhanyinfeng
opened
8 months ago
0
关于voi模型的训练
#19
Karkers
opened
9 months ago
1
Feasiblilty on SemanticKITTI
#18
illuosion
opened
11 months ago
0
Performance on Waymo dataset lower than reported
#17
codename1995
opened
1 year ago
1
Why the test results are different every time？
#16
LegendRGC
opened
1 year ago
1
epoch
#15
SiHengHeHSH
opened
1 year ago
0
about the CLASS
#14
Karkers
opened
1 year ago
0
Support voxel-based GD-MAE?
#13
synsin0
closed
1 year ago
1
关于graph r-cnn voi
#12
Karkers
closed
1 year ago
8
velodyne_reduced
#11
Karkers
closed
1 year ago
1
pretrain weight for dla in Graph-VoI
#10
iMbaGong
closed
1 year ago
1
loss do not converge using GD-MAE for nuScenes dataset
#9
synsin0
closed
1 year ago
0
about self-training log
#8
ShuojieMo
closed
1 year ago
1
fine tuning time
#7
phoebedddd
closed
1 year ago
0
planes files
#6
phoebedddd
closed
1 year ago
1
about mmdetection
#5
phoebedddd
closed
1 year ago
0
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1)
#4
phoebedddd
closed
1 year ago
3
about separately and end-to-end
#3
phoebedddd
closed
1 year ago
2
evaluate AP is all 0
#2
Jung-jongwon
closed
1 year ago
9
Code release schedule.
#1
SxJyJay
closed
1 year ago
2