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News/JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering
arxiv
PublishedJuly 1, 2026 at 4:00 AM
—neutral

JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2606.31745v1 Announce Type: cross Abstract: Remote sensing change detection (CD) traditionally focuses on pixel-level binary segmentation, which identifies where changes occur but neither what nor why. To bridge this semantic gap, we introduce JL1-CC&QA, a multi-task benchmark that extends the

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#remote-sensing#change-detection#multi-task-learning

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Mentioned models
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  • 01
    large language model (LLM)
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#remote-sensing#change-detection#multi-task-learning
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