High-resolution remote sensing semantic segmentation is a key enabler for fine-grained urban mapping and related geospatial applications. However, complex textures, severe scale variations, and cross-modal discrepancies make models with fixed architectures and computation paths struggle to combine reliable multimodal f...
Dong Xing, Hang Yang, Jin-He Zhang et al.· Cognitive Computation· 0 citations
This work proposes a novel framework, SARTM, which customizes the powerful SAM for RGB-T semantic segmentation, and introduces a Cross-Modal Knowledge Distillation (CMKD) module that effectively achieves modality adaptation while maintaining its generalization capabilities.
Video-Adaptive Debiasing via Evidence Reweighting (VADER), a training-free framework with two complementary modules that combines Contrastive decoding then down-weights predictions that remain confident after selective evidence erasure.
Dong Xing, Jiaxin Chen, Hang Yang et al.· 0 citations
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