{"ID":5443786,"CreatedAt":"2026-07-01T02:07:11.383974684Z","UpdatedAt":"2026-07-03T14:25:27.813080916Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.31745","arxiv_id":"2606.31745","title":"JL1-CC\u0026QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering","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\u0026QA, a multi-task benchmark that extends the JL1-CD dataset with two complementary annotation layers: change captioning (CC) and change question answering (QA). Built upon 5,000 bi-temporal image pairs acquired by the Jilin-1 satellite at 0.5-0.75m ground sample distance, the benchmark comprises: (i) JL1-CC, providing 17,021 quality-verified captions that describe diverse land-cover transformations; and (ii) JL1-QA, offering 20,060 question-answer pairs across eight question types, enabling fine-grained, interactive interrogation of surface changes. All annotations are produced via a three-stage pipeline consisting of multi-modal large language model (LLM) generation, vision-grounded LLM judging, and human expert verification. We hope that JL1-CC\u0026QA, as a benchmark unifying binary change masks, change captions, and change-oriented QA over the same image set, will serve as a valuable resource for the community to advance multi-task change understanding in remote sensing. The dataset is available at https://github.com/circleLZY/JL1-CD.","short_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\u0026QA, a multi-task benchmark that extends the JL1-CD dataset with two complementary annotation layers: change capti...","url_abs":"https://arxiv.org/abs/2606.31745","url_pdf":"https://arxiv.org/pdf/2606.31745v1","authors":"[\"Ziyuan Liu\",\"Ruifei Zhu\",\"Ouqiao Ma\",\"Yuantao Gu\"]","published":"2026-06-30T14:37:25Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.AI\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false,"code_links":[{"ID":613807,"CreatedAt":"2026-07-01T02:07:11.383974684Z","UpdatedAt":"2026-07-01T02:07:11.383974684Z","DeletedAt":null,"paper_id":5443786,"paper_url":"https://arxiv.org/abs/2606.31745","paper_title":"JL1-CC\u0026QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering","repo_url":"https://github.com/circleLZY/JL1-CD","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}