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RSVQA: Visual question answering for remote sensing data,

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1 Pith paper citing it

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cs.CV 1

years

2025 1

verdicts

REJECT 1

representative citing papers

SAR Strikes Back: A New Hope for RSVQA

cs.CV · 2025-01-14 · reject · novelty 5.0

A two-stage 'prompt' pipeline that turns SAR image classifications into text outperforms an end-to-end model for remote sensing visual question answering, and late fusion with optical data gives the best overall accuracy.

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  • SAR Strikes Back: A New Hope for RSVQA cs.CV · 2025-01-14 · reject · none · ref 5

    A two-stage 'prompt' pipeline that turns SAR image classifications into text outperforms an end-to-end model for remote sensing visual question answering, and late fusion with optical data gives the best overall accuracy.