Author

Dan-Feng Hong

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Preprint Aug 2026

Bridging the Gap between Labeled and Unlabeled Data via Unified Flow with Feature Memory Bank

Although semi-supervised semantic segmentation ($\text{S}^4$) utilizes abundant unlabeled data to reduce manual labeling burdens, independent training of labeled and unlabeled data causes the former to dominate, which severely degrades pseudo-label quality. To address this challenges, we propose a novel remote sensing...

Shan-Wen Wang, Xin Sun, Dan-Feng Hong et al. · 0 citations

Preprint Oct 2026

A Geometric-Transformation Feature-Adaptive Manifold Restoration Method for Open-Vocabulary Semantic Segmentation of Remote Sensing Images

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 semantic segmentation (OVSS) methods often exhibit inconsistent responses to different geometric transformations. To exploit this property and...

Jian-Zheng Wang, Huan Ni, Xiao-Nan Niu et al. · 0 citations