Fast and Efficient Transformer-based Method for Bird's Eye View Instance Prediction
快速且高效的基于变换器的鸟瞰图实例预测方法
机构 * Universidad of Alcalá (UAH)(阿尔卡拉大学)
专题命中 感知 :self-driving(abstract);BEV(abstract);occupancy(abstract);分类 cs.CV
AI总结 本文提出一种基于简化范式的高效鸟瞰图实例预测架构,通过使用实例分割和流预测来提升速度和效率,减少参数数量和推理时间。
Comments The article has been presented in the 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024) on September, 2024. Number of pages: 6, Number of figures: 4