A two-stage FTF retrieval system for remote sensing images and text achieves competitive accuracy with substantially higher efficiency by separating fast candidate recall from fine-grained reranking.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A unified cost-aware formulation couples fine-grained high-resolution sampling decisions with cross-patch representation prediction to achieve superior performance-cost trade-offs on remote sensing recognition and retrieval tasks using a new 10M-image benchmark.
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Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing
A two-stage FTF retrieval system for remote sensing images and text achieves competitive accuracy with substantially higher efficiency by separating fast candidate recall from fine-grained reranking.
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Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding
A unified cost-aware formulation couples fine-grained high-resolution sampling decisions with cross-patch representation prediction to achieve superior performance-cost trade-offs on remote sensing recognition and retrieval tasks using a new 10M-image benchmark.