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  • QA Wolf | We Write, Run and Maintain Tests Icon
    QA Wolf | We Write, Run and Maintain Tests

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    BEVFormer

    BEVFormer

    Implementation of BEVFormer, a camera-only framework

    ...To aggregate spatial information, we design spatial cross-attention that each BEV query extracts the spatial features from the regions of interest across camera views. For temporal information, we propose temporal self-attention to recurrently fuse the history BEV information. Our approach achieves the new state-of-the-art 56.9\% in terms of NDS metric on the nuScenes \texttt{test} set, which is 9.0 points higher than previous best arts and on par with the performance of LiDAR-based baseline.
    Downloads: 1 This Week
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