ELC models image–text matches as Dirichlet distributions, aligns uncertainty with retrieval correctness, and selectively applies RS-aware TTA to high-uncertainty queries for more robust CMRSITR under noise.
Land cover mapping at very high resolution with rotation equivariant cnns: Towards small yet accurate models,
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Uncertainty-Aware Cross-Modal Remote Sensing Image-Text Retrieval via Evidential Learning
ELC models image–text matches as Dirichlet distributions, aligns uncertainty with retrieval correctness, and selectively applies RS-aware TTA to high-uncertainty queries for more robust CMRSITR under noise.