VecLang reformulates multiclass vector mapping from remote sensing imagery as structured text generation using a progressive vision-language framework and reinforcement learning optimization on a new 54K-image benchmark.
Rsground-r1: Rethinking remote sensing visual grounding through spatial reasoning,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
GeoSearcher introduces anchor-centric reasoning supervised fine-tuning and process-faithful group relative policy optimization to improve MLLM-based remote sensing visual grounding.
citing papers explorer
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Vector Map as Language: Toward Unified Remote Sensing Vector Mapping
VecLang reformulates multiclass vector mapping from remote sensing imagery as structured text generation using a progressive vision-language framework and reinforcement learning optimization on a new 54K-image benchmark.
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GeoSearcher: Anchor-Guided Progressive Reasoning for Remote Sensing Visual Grounding with Process Supervision
GeoSearcher introduces anchor-centric reasoning supervised fine-tuning and process-faithful group relative policy optimization to improve MLLM-based remote sensing visual grounding.