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 ▬▬ Support me if you like 🌟 ►Website: https://deepfindr.github.io/ ►Support me on Patreon: https://bit.ly/2Wed242 ►Buy me a coffee on Ko-Fi: https://bit.ly/3kJYEdl ►Coursera: https://imp.i384100.net/b31QyP ►Link to this channel: https://bit.ly/3zEqL1W ►E-Mail: [email protected] ▬▬ My equipment 💻 - Microphone: https://amzn.to/3DVqB8H - Microphone mount: https://amzn.to/3BWUcOJ - Monitors: https://amzn.to/3G2Jjgr - Monitor mount: https://amzn.to/3AWGIAY - Height-adjustable table: https://amzn.to/3aUysXC - Ergonomic chair: https://amzn.to/3phQg7r - PC case: https://amzn.to/3jdlI2Y - GPU: https://amzn.to/3AWyzwy - Keyboard: https://amzn.to/2XskWHP - Bluelight filter glasses: https://amzn.to/3pj0fK2