<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DINOv2 |</title><link>https://lelain.net/tags/dinov2/</link><atom:link href="https://lelain.net/tags/dinov2/index.xml" rel="self" type="application/rss+xml"/><description>DINOv2</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 30 Aug 2025 00:00:00 +0000</lastBuildDate><image><url>https://lelain.net/media/icon.svg</url><title>DINOv2</title><link>https://lelain.net/tags/dinov2/</link></image><item><title>How to finetune DINOv2 for astronmy?</title><link>https://lelain.net/publications/dinov2-astronomy/</link><pubDate>Sat, 30 Aug 2025 00:00:00 +0000</pubDate><guid>https://lelain.net/publications/dinov2-astronomy/</guid><description/></item><item><title>Comment spécialiser DINOv2 pour l'astronomie?</title><link>https://lelain.net/events/gretsi2025/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://lelain.net/events/gretsi2025/</guid><description>&lt;p&gt;Talk presented at GRETSI 2025. This work evaluates the performance of existing visual foundation models (ViT, SwinV2, BEiT, DINOv2) for astronomical applications, focusing on fine-tuning strategies to specialize DINOv2 for galaxy morphological classification.&lt;/p&gt;</description></item></channel></rss>