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yinjunbo
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ProposalContrast
This repository contains the PyTorch implementation of the ECCV'2022 paper, ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection.
MIT License
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Unable to download ground plane data
#15
deeptibhegde
opened
1 year ago
0
Question about point drop out and key point selection
#14
IamJiyong
closed
1 year ago
0
How many data are used for self-supervised pretraining?
#13
SxJyJay
opened
1 year ago
2
Solved
#12
mu-cai
closed
1 year ago
0
Could you release the code for getting the ground points?
#11
sunnyHelen
closed
1 year ago
1
where is the part of cross-attention mechanism ?
#10
chyohoo
closed
1 year ago
0
[Bug?] in forward_ssl
#9
Hiusam
opened
1 year ago
0
How do you re-implement PointContrast and DepthContrast?
#8
Hiusam
closed
1 year ago
1
Is it necessary to remove road points when pre-training?
#7
Hiusam
closed
1 year ago
2
The shape mismatch for lidar_ground segmentation array and points
#6
mu-cai
closed
1 year ago
8
How did you sample the datasets for data-efficient 3d detection
#5
Hiusam
closed
1 year ago
2
Can you provide the pretrained model checkpoints?
#4
mu-cai
closed
1 year ago
1
2022-09-15 00:54:55,076 - INFO - Reducer buckets have been rebuilt in this iteration.
#3
hi-zhangjie
closed
1 year ago
1
baseline results
#2
zwei-lin
closed
2 years ago
9
code release?
#1
ssssholmes
closed
2 years ago
2