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10+ Best Articles on Computer Vision

A reading list of the best and most useful articles on computer vision from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.

On this page

Top 5 Computer Vision Articles

At a glance: these are the articles that have been most read, shared, and saved on computer vision by Refind users in 2022.

  1. Deep Learning Achievements Over the Past Year
  2. Machine vision has learned to use radio waves to see through walls and in darkness
  3. Google’s AI explains how image classifiers made their decisions
  4. Powerful computer vision algorithms are now small enough to run on your phone
  5. How Peloton’s Body-Tracking Tech Fits Into Its Future

Videos

Watch a video to get a quick overview.

What is ...?

New to #computer vision? These articles make an excellent introduction.

How to ...?

Short Articles

Short on time? Check out these useful short articles on computer vision—all under 10 minutes.

Long Articles

These are some of the most-read long-form articles on computer vision.

Related Topics

Publications

We monitor hundreds of publications, blogs, newsletters, and news sources in Computer Vision, including:

MIT Technology Review profile image

MIT Technology Review

Our in-depth reporting on innovation reveals and explains what’s really happening now to help you know what’s coming next. http://technologyreview.com/newsletters

Quanta Magazine profile image

Quanta Magazine

Big ideas in science and math. Because you want to know more. Launched by @SimonsFdn. 2022 Pulitzer Prize in Explanatory Reporting. http://quantamagazine.org

KDnuggets profile image

KDnuggets

KD stands for Knowledge Discovery. Covering #DataScience #MachineLearning #AI #Analytics. Edited by @mattmayo13. Founded by Gregory Piatetsky-Shapiro.

InfoQ (@infoq@techhub.social) profile image

InfoQ (@infoq@techhub.social)

Helping dev teams adopt new technologies and practices for 16 years. Written by software engineers. Read by over 1.5 m devs worldwide.

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Every day Refind picks 5 links from around the web for every user, tailored to the user’s interests. Picking only a handful of links means focusing on what’s relevant and useful. We favor timeless pieces—links with long shelf-lives, articles that are still relevant one month, one year, or even ten years from now. These lists of the best resources on any topic are the result of years of careful curation.

How does Refind curate?

It’s a mix of human and algorithmic curation, following a number of steps:

  1. We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
  2. In addition, our users save links from around the web using our Save buttons and our extensions.
  3. Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
  4. Our community of active users gets 5 links every day, tailored to their interests. They provide feedback via implicit and explicit signals: open, read, listen, share, add to reading list, save to «Made me smarter», «More/less like this», etc.
  5. Our algorithm uses these internal signals to refine the selection.
  6. In addition, we have expert curators who manually curate niche topics.

The result: lists of the best and most useful articles on hundreds of topics.

How does Refind detect «timeless» pieces?

We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.

How many sources does Refind monitor?

We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.

Which sources does Refind monitor on computer vision?

We monitor hundreds of sources on computer vision, including MIT Technology Review, Quanta Magazine, Pew Research Internet, KDnuggets, InfoQ (@infoq@techhub.social), and many more.

Who uses Refind?

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