arxiv
PublishedJuly 1, 2026 at 4:00 AM
—neutral
JL1-CC&QA: Extending the JL1-CD Benchmark with Change Captioning and Question Answering
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
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMeta-ethics and AI: exploring the novel meta-ethical questions in the era of AI9harxivSSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval9harxivEpistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence9harxivDocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents9hThe Bubble Brief
WEEKLYRead remote-sensing insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗