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LingLin Zeng

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#artificial intelligence Preprint Sep 2026

SatOV: Restoring Spatial Priors for Training-Free Open-Vocabulary Segmentation in Remote Sensing Imagery

Open-vocabulary semantic segmentation (OVS) of remote sensing imagery is a challenging pixel-level task requiring strong generalization and adaptation to the spatial characteristics of remote sensing data. Although existing vision-language foundation models perform well in general domains, their image-level classificat...

Chang-Hao Zhao, Ling-Lin Zeng, Hai Liu · 0 citations
Preprint Aug 2026

Standalone DINOv3 for Training-Free Open-Vocabulary Semantic Segmentation in Remote Sensing

DinoSplat-OV is proposed, a training-free framework that adapts DINOv3 to remote sensing without fine-tuning or additional pretraining, effectively filling the gap of DINO-series models in training-free open-vocabulary segmentation and providing a viable new path for further advances in this direction.

Chang-Hao Zhao, Haoxiang Li, Yuke Li et al. · 1 citation · ⚡1

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