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CrossRay3D: Geometry and Distribution Guidance for Efficient Multimodal 3D Detection

arXiv — cs.CV•Wednesday, November 5, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

CrossRay3D: Geometry and Distribution Guidance for Efficient Multimodal 3D Detection

The paper titled "CrossRay3D: Geometry and Distribution Guidance for Efficient Multimodal 3D Detection" explores the benefits of a sparse cross-modality detector compared to the Bird's-Eye-View detector, emphasizing its adaptability and cost-effectiveness (F1). Despite these advantages, the authors identify limitations in current sparse detectors, particularly regarding the quality of token representation (F2). To address these shortcomings, the paper proposes specific improvements aimed at enhancing performance in 3D detection tasks (F3). This focus on refining token representation quality suggests a pathway for advancing multimodal 3D detection technologies. The discussion highlights the balance between efficiency and accuracy in detector design, underscoring the importance of both geometry and distribution guidance. Overall, the research contributes to ongoing efforts to optimize 3D detection systems by leveraging sparse cross-modality approaches.

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