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About this paper
Shuyan Ke, Yifan Mei, Changli Wu, Yonghan Zheng, Jiayi Ji, Liujuan Cao, Rongrong Ji
PixDLM performs UAV reasoning segmentation, turning free-form instructions about spatial, attribute, or scene context into pixel masks. It combines low-resolution CLIP semantics with high-resolution SAM structural features, injecting the latter into the semantic path before progressively refining masks. On DRSeg’s 10,000-image benchmark, PixDLM leads SFT baselines; scene-level cIoU is 64.03%, a benchmark result, not evidence of drone performance.
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