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

▬▬ Papers/Sources ▬▬▬▬▬▬▬ - Colab Notebook: - SimCLRv2: - PointNet: - PointNet : - EdgeConv: - Contrastive Learning Survey: ▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬ All Icons are from flaticon: ▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬ Music from Uppbeat (free for Creators!): 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: ►Support me on Patreon: ►Buy me a coffee on Ko-Fi: ►Coursera: ►Link to this channel: ►E-Mail: deepfindr@ ▬▬ My equipment 💻 - Microphone: - Microphone mount: - Monitors: - Monitor mount: - Height-adjustable table: - Ergonomic chair: - PC case: - GPU: - Keyboard: - Bluelight filter glasses: