AI RESEARCH
Revisiting Change VQA in Remote Sensing with Structured and Native Multimodal Qwen Models
arXiv CS.CV
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ArXi:2604.18429v1 Announce Type: new Change visual question answering (Change VQA) addresses the problem of answering natural-language questions about semantic changes between bi-temporal remote sensing (RS) images. Although vision-language models (VLMs) have recently been studied for temporal RS image understanding, Change VQA remains underexplored in the context of modern multimodal models. In this letter, we revisit the CDVQA benchmark using recent Qwen models under a unified low-rank adaptation (LoRA) setting.