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Real-time 3D Object Detection using Feature Map Flow

2021-06-26 22:20:31
Youshaa Murhij, Dmitry Yudin
arXiv_AI
           
Abstract

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 this https URL

Abstract (translated)

URL

https://arxiv.org/abs/2106.14101

PDF

https://arxiv.org/pdf/2106.14101.pdf

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