Web: http://arxiv.org/abs/2203.17054

June 17, 2022, 1:13 a.m. | Junjie Huang, Guan Huang

cs.CV updates on arXiv.org arxiv.org

Single frame data contains finite information which limits the performance of
the existing vision-based multi-camera 3D object detection paradigms. For
fundamentally pushing the performance boundary in this area, a novel paradigm
dubbed BEVDet4D is proposed to lift the scalable BEVDet paradigm from the
spatial-only 3D space to the spatial-temporal 4D space. We upgrade the naive
BEVDet framework with a few modifications just for fusing the feature from the
previous frame with the corresponding one in the current frame. In this …

3d arxiv cv detection temporal

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