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[NeurIPS 2023] Official Implementation of A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Home Page: https://arxiv.org/abs/2310.20293

License: Apache License 2.0

Python 100.00%
active-learning lidar-point-cloud semantic-segmentation

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annotator's Issues

Experiment hyperparameters

Hi, @BinhuiXie, thank you for your excellent work. I would like to know your experiment details about hyperparameters in source-only and target-only. eg: momentum and weight decay of SGD, T-max of consinedecayLR, and if using data augment during the training phase. Additionally, if you can impart more information about source-only or target-only to me, I will be particularly grateful to you.

when will the code be available?

Hi,

First, Thank you for your wonderful work!
I want to adapt my task based on your pipeline.

So.., when will the code be released?

Thank you for your work again.

Access Pre-trained weight

Thank you for your wonderful work.

I want to evaluate this code in SynLiDAR-to-Semantic-KITTI, so can you �share to me Semantic-Kitti pretrained weight?

Thank you again.

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