Computer Vision, Research

Top 10 Computer Vision Papers 2020

The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.

Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence and more precisely computer vision. More, many important aspects were highlighted this year, like the ethical aspects, important biases, and much more. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future, which I will definitely cover.

Here are my top 10 of the most interesting research papers of the year in computer vision, in case you missed any of them. 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 read, and let me know if I missed any important papers in the comments, or by contacting me directly on LinkedIn!

The complete reference to each paper is listed at the end of this article.

Access the complete list in a GitHub repository

Tag me on Twitter (@Whats_AI) or LinkedIn (Louis (What’s AI) Bouchard) if you share the article!

Watch a complete computer vision 2020 rewind in 5 minutes

Sea-thru: A Method For Removing Water From Underwater Images [1]

Have you ever wondered how the ocean would look like without water Remove this blue-green tint of the underwater pictures, and still have the true colors of a coral reef? Well, using computer vision and machine learning algorithms, researchers from the University of Haifa were able to accomplish exactly that!