arXiv:2106.14101
공식 코드 · Papers with Code
Real-time 3D Object Detection using Feature Map Flow
원문 초록
In this paper, we present a real-time 3D detection approach considering time-spatial feature map aggregation from different time steps of deep neural model inference (named feature map flow, FMF). Proposed approach improves the quality of 3D detection center-based baseline and provides real-time performance on the nuScenes and Waymo benchmark. Code is available at https://github.com/YoushaaMurhij/FMFNet
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토론
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