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A Dual-Domain Guided Adaptive Super-Resolution method that comprehensively outperforms state-of-the-art methods in reconstruction quality but also provides a highly practical solution for large-scale remote sensing image processing with its superior inference efficiency.
With the rapid development of high-resolution remote sensing platforms and the growing demand for intelligent Earth observation, remote sensing image semantic segmentation has become a key technology for road extraction, urban–rural planning, disaster monitoring, and ecological assessment. However, complex remote sensi...
SymDiag is proposed, a neuro-symbolic framework that reframes reasoning verification as structured failure diagnosis and incorporates a Self-Auditor that disentangles TranslationError from ReasoningError via dual symbolic encodings consistency checks, enabling robust diagnosis under partial observability.
SymDiag is proposed, a neuro-symbolic framework that reframes reasoning verification as structured failure diagnosis and incorporates a Self-Auditor that disentangles TranslationError from ReasoningError via dual symbolic encodings consistency checks, enabling robust diagnosis under partial observability.
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