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Open access Sep 2026

TFSANet: Temporal Fusion and Structure-Aware Network for Remote Sensing Change Detection

Remote sensing change detection is important for evaluating disaster impacts, urban monitoring, and land-use analysis. However, existing methods mainly rely on single difference representations. It always lead to constrained discriminative power and pseudo-change artifacts. At the meantime, the class imbalance between...

Hui Wang, Chuang Yang, Qi Wang · 0 citations
Preprint Aug 2026

VGGT-Align: Bridging Local Reconstruction and Global Consistency for Long-Sequence 3D Reconstruction

Maintaining global geometric consistency is a central challenge in long-sequence 3D reconstruction, with scale drift being the most critical failure mode. In chunk-based inference pipelines, the scale degree of freedom in sequential Sim(3) alignment is left unconstrained, causing estimation errors to compound multiplic...

Wei Zhang, Yihang Wu, Song Li et al. · 2 citations · ⚡1

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