You want to hide an interactive element that you don't need anymore after JavaScript loads/runs. Can you do it without a

Discover the new way to request user location data.

A collection of utility functions to more easily work with View Transitions.

CSS treats @supports as context-blind, and that leads to surprising (and misleading) behavior in real browsers. This article showcases examples when @supports doesn't work as expected and explores the...

If you’ve ever tried to build a data table with a sticky header and a sticky first column, you know the pain. You’d think a simple position: sticky with top: 0 and left: 0 would be enough, but the...

In CSS you can feature detect support for things like selectors, properties + values, and at-rules using @supports. But how do you feature detect a change to an underlying implementation, or two existing properties suddenly working together? Enter @supports named-feature(), a function designed to…

In CSS you can feature detect support for things like selectors, properties + values, and at-rules using @supports. But how do you feature detect a change to an underlying implementation, or two existing...

As a core step in structure-from-motion and SLAM, robust feature detection and description under challenging scenarios such as significant viewpoint changes remain unresolved despite their ubiquity. While recent works have identified the importance of local features in modeling geometric transformations, these methods fail to learn the visual cues present in long-range relationships. We present Robust Deformable Detector (RDD), a novel and robust keypoint detector/descriptor leveraging the deformable transformer, which captures global context and geometric invariance through deformable self-attention mechanisms. Specifically, we observed that deformable attention focuses on key locations, effectively reducing the search space complexity and modeling the geometric invariance. Furthermore, we collected an Air-to-Ground dataset for training in addition to the standard MegaDepth dataset. Our proposed method outperforms all state-of-the-art keypoint detection/description methods in sparse m

Back in January 2022, I wrote about an exciting new CSS Working Group decision: a function to detect at-rule support using @supports at-rule(@keyword). Fast forward to today, and the CSS Conditional Rules...

There are a ton more @media queries than