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Drone-PUR: From Visual Clue Discovery to Understanding and Reasoning in UAV Scenes
Not specified
reasoningdatasetUAVvisual clues
2610.40801
Builder Relevance
1h ago80%
Abstract
The paper introduces Drone-PUR, a dataset and benchmark aimed at enhancing reasoning capabilities in UAV scenes through visual clue discovery and integration.
Reality Card
Core Claim
Drone-PUR improves reasoning capabilities in UAV scenes by providing a comprehensive dataset and benchmark that requires models to combine multiple visual clues.
Method / Result
The UAV-PUR variants improve overall multiple-choice accuracy by 18.33 and 17.52 percentage points over their pretrained counterparts.
Limitations
Persistent limitations in spatial judgment and cross-modal reasoning across evaluated VLMs.
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