PREDATOR - Tracker that learns and improves
Zdenek Kalal1 HN recommenders · 2011–2023
893K views · demo · dated · Uploaded 2011-01-01
A demo of PREDATOR (TLD), a real-time object tracker that learns the appearance of its target and improves while it tracks. The technology was later developed commercially.
HN found it a nifty demo and cites it as a primitive but effective learning tracker that predates modern deep-learning trackers.
2:25:52The spelled-out intro to neural networks and backpropagation: building micrograd
Andrej Karpathy
18:40But what is a neural network? | Deep learning chapter 1
3Blue1Brown
1:30:28AlphaGo - The Movie | Full award-winning documentary
Google DeepMind
27:14Transformers, the tech behind LLMs | Deep Learning Chapter 5
3Blue1Brown
51:22USENIX Security '18-Q: Why Do Keynote Speakers Keep Suggesting That Improving Security Is Possible?
USENIX
1:08:40Lecture 1 | Machine Learning (Stanford)
Stanford
5:58MarI/O - Machine Learning for Video Games
SethBling
3:31:24Deep Dive into LLMs like ChatGPT
Andrej Karpathy
3 comments from Hacker News
My friend forwarded me the video demo link for this: [VIDEO] Very nifty. I'm looking forward to reading the machine learning code involved in this.
Incorrect. Recognition applications have been able to track objects across disparate frames of video even when obscures from camera view, for at least a decade now [1]. 1. [VIDEO]
OK, 11 years ago then. This time with some very primitive ML: OpenTLD [VIDEO] Was good enough for commercialization [LINK] . I think their tech is powering this [LINK]