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#FeatureDetection

Posts tagged #FeatureDetection on Bluesky

@inautilo.bsky.social

10 hours ago

Detect at-rule support in CSS with @supports at-rule(@keyword) 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...

#Development #Overviews
Detect at-rule() support in CSS · A handy feature lands in Chromium 148 ilo.im/16bf5x by Bram Van Damme

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#ModernCSS #W3C #Specification #FeatureDetection #Chrome #Browsers #WebDev #Frontend #CSS

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@inautilo.bsky.social

2 months ago

Introducing the <geolocation> HTML element | Blog | Chrome for Developers Discover the new way to request user location data.

#Development #Introductions
Introducing the HTML ‘geolocation’ element · What it does and how to use it ilo.im/169tah by Mari Viana, Minh Le and Thomas Steiner

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#HTML #Geolocation #FeatureDetection #Polyfill #ProgressiveEnhancement #Chrome #Browser #WebDev #Frontend #Releases

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@frontenddogma.com

5 months ago

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

A Progressive Enhancement Challenge, by @chriscoyier@front-end.social (@frontendmasters.com):

frontendmasters.com/blog/a-progressive-enhan...

#progressiveenhancement #javascript #html #featuredetection #support

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@inautilo.bsky.social

5 months ago

How much do you really know about media queries? There are a ton more @media queries than

#Development #Overviews
Think you know media queries? · “Get ahead of the curve and start putting them to use.” ilo.im/1679ci by Daniel Schwarz

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#MediaQueries #FeatureDetection #Devices #Browser #Accessibility #WebDev #Frontend #CSS #CssNesting

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@neuriverse.bsky.social

10 months ago

RDD: Robust Feature Detector and Descriptor using Deformable Transformer 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

🤖✨ unlock new levels of keypoint detection and description with rdd, using deformable transformers to handle tough viewpoints and achieve superior 3d reconstruction performance
https://arxiv.org/abs/2505.08013v1
#featuredetection #transformers #3dreconstruction #deeplearning #slam

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@frontenddogma.com

11 months ago

First Look at the Modern “attr()”

First Look at the Modern “attr()”, by @shadeed9@front-end.social:

https://ishadeed.com/article/modern-attr/

#css #functions #attributes #featuredetection

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