DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing

A multi-task foundation model for quantitative remote sensing, adapted from DINOv3.

AAAI, 2026.

Note

Adapts a pretrained visual backbone to several quantitative remote sensing tasks at once, rather than training one model per task.

Reference

DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing
AAAI, 2026.
https://scholar.google.com/scholar?q=%22DINOv3-Powered%20Multi-Task%20Foundation%20Model%20for%20Quantitative%20Remote%20Sensing%22

The publisher record holds the author list.

Details

TypeConference paper
AreasFoundation models for biology and medicine

Find this title

More from the index

PreviousEfficient RAG with Intent-Aware Retrieval and Semantics-Preserving ChunkingarXiv
NextDeepFakeX: A Comprehensive Multimodal Deepfake Dataset for Research and AnalysisData

@layer base { [data-reveal] { opacity: 1 !important; transform: none !important; } #drawer[hidden] { display: block !important; } @media (min-width: 56.25rem) { #drawer[hidden] { display: none !important; } } .nav-toggle { display: none !important; } }