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      <title>Scene adaptive sparse transformer for event-based object detection</title>
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      <description>&lt;p&gt;本文针对事件相机目标检测中Transformer计算成本过高的问题，提出场景自适应稀疏Transformer（SAST）。该方法通过窗口-令牌协同稀疏化与场景特定稀疏优化，在保持低计算量的同时实现高检测性能，并能根据场景复杂度自适应调整稀疏程度，有效平衡了检测精度与效率。&lt;/p&gt;
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