5 papers
A Geometric-Transformation Feature-Adaptive Manifold Restoration Method for Open-Vocabulary Semantic Segmentation of Remote Sensing Images
Jianzheng Wang, Huan Ni, Xiaonan Niu +2
The semantic information of objects in remote sensing images is typically invariant to geometric transformations from the dihedral group D4. However, SAM3-based open-vocabulary sem…
Training-Free Entity-Level Few-Shot Segmentation of Remote Sensing Images with Advection Refinement
Xueting Bai, Huan Ni
Existing cross-domain few-shot segmentation approaches suffer from high training costs due to source-domain episodic training and pixel-wise dense prediction, while often producing…
Spatial-Regularization-Aware Dual-Branch Collaborative Inference for Training-Free OVSS in Remote Sensing Imagery
Jianzheng Wang, Huan Ni
High-resolution remote sensing images contain densely distributed objects with pronounced scale variations and complex boundaries, which impose higher demands on both the geometric…
Cross-Domain Few-Shot Segmentation via Ordinary Differential Equations over Time Intervals
Huan Ni, Qingshan Liu, Xiaonan Niu +3
Cross-domain few-shot segmentation (CD-FSS) aims to segment unseen categories with very limited samples while alleviating the negative effects of domain shift between the source an…
Cross-Resolution Land Cover Classification Using Outdated Products and Transformers
Huan Ni, Yubin Zhao, Haiyan Guan +4
Large-scale high-resolution land cover classification is a prerequisite for constructing Earth system models and addressing ecological and resource issues. Advancements in satellit…