The authors discovered that MLLMs, when post-trained with GRPO (using only outcome rewards based on final answer correctness), tend to over-focus on image backgrounds, forming spurious "background ...
Abstract: Oriented object detection in remote sensing images is a challenging task due to objects being distributed in multiorientation. Recently, end-to-end transformer-based methods have achieved ...
Abstract: In aerial scenes, oriented object detection is sensitive to the orientation of objects, which makes the formulation of orientation-aware object representation become a critical problem.
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