Contrastive Learning in PyTorch - Part 2: CL on Point Clouds

▬▬ Papers/Sources ▬▬▬▬▬▬▬
- Colab Notebook: https://colab.research.google.com/drive/1oO-Raqge8oGXGNkZQOYTH-je4Xi1SFVI?usp=sharing
- SimCLRv2: https://arxiv.org/pdf/2006.10029.pdf
- PointNet: https://arxiv.org/pdf/1612.00593.pdf
- PointNet++: https://arxiv.org/pdf/1706.02413.pdf
- EdgeConv: https://arxiv.org/pdf/1801.07829.pdf
- Contrastive Learning Survey: https://arxiv.org/ftp/arxiv/papers/2010/2010.05113.pdf

▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬
All Icons are from flaticon: https://www.flaticon.com/authors/freepik

▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
Music from Uppbeat (free for Creators!):
https://uppbeat.io/t/t-check/lemon-limes
License code: KJ7PFP0HB9BWHJOF

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:22 Errors from last video
01:41 Notebook Setup [CODE]
02:42 Dataset Intro [CODE]
05:07 Augmentations and Bias
06:26 Augmentations [CODE]
09:12 Machine Learning on Point Clouds
11:48 PointNet
13:30 PointNet-pp
14:32 EdgeConv
15:53 Other Methods
16:09 Model Architecture
17:25 Model Implementation [CODE]
20:11 Training [CODE]
21:05 Batch sizes in CL
22:00 Training cont [CODE]
22:40 Batching in CL
23:15 Training cont [CODE]
24:08 Embedding evaluation
27:00 Outro
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