Here is my list of the top 10 most interesting computer vision research papers of 2020. In short, it is basically a curated list of the latest breakthroughs in AI and CV with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the video, and let me know if I missed any important papers in the comments, or by contacting me directly on LinkedIn! Watch the video References The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference. Full list: https://pub.towardsai.net/top-10-computer-vision-papers-2020-aa606985f688 The GitHub repository: https://github.com/louisfb01/Top-10-Computer-Vision-Papers-2020 Watch the AI Rewind 2020: https://youtu.be/DHBclF-8KwE Video Transcript 00:00 computer vision the goal of computer 00:02 vision is to understand the content of 00:05 images 00:05 while it's trivial for humans it's a 00:08 whole other deal for a computer 00:10 and therefore it's one of the biggest 00:12 fields involving machine learning 00:14 basically it involves developing methods 00:17 that attempt to reproduce the capability 00:19 of human vision 00:20 which is the perfect challenge for 00:22 machine learning since 00:24 it already tries to reproduce the way 00:26 humans learn 00:27 that is why machine learning and deep 00:29 learning is so 00:30 tied up with computer vision such 00:33 applications may involve extracting an 00:35 object from the image 00:36 a text description a three-dimensional 00:39 model and so on 00:40 in short computer vision is a huge field 00:43 of study where we try to give 00:45 vision to computers using cameras basic 00:48 algorithms 00:49 filters and much more it has been 00:51 improved a lot recently 00:53 using machine learning algorithms to 00:55 achieve its goal of 00:56 understanding images
