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Models/BEVFormer (EfficientNet-b4)

BEVFormer (EfficientNet-b4)

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical2 results

  • Semantic SegmentationonLyft Level 5
    IoU vehicle - 224x480 - Long· 2022-03-31
    44.5
    best: 45.4 (PointBeV (EfficientNet-b4))
    SOTA
    BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersarXiv:2203.17270
  • Semantic SegmentationonLyft Level 5
    IoU vehicle - 224x480 - Short· 2022-03-31
    69.9
    best: 72.6 (PointBeV (EfficientNet-b4))
    SOTA
    BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersarXiv:2203.17270

Audio2 results

  • 10-shot image generationonLyft Level 5
    IoU vehicle - 224x480 - Long· 2022-03-31
    44.5
    best: 45.4 (PointBeV (EfficientNet-b4))
    SOTA
    BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersarXiv:2203.17270
  • 10-shot image generationonLyft Level 5
    IoU vehicle - 224x480 - Short· 2022-03-31
    69.9
    best: 72.6 (PointBeV (EfficientNet-b4))
    SOTA
    BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersarXiv:2203.17270

Computer Vision2 results

  • Bird's-Eye View Semantic SegmentationonLyft Level 5
    IoU vehicle - 224x480 - Long· 2022-03-31
    44.5
    best: 45.4 (PointBeV (EfficientNet-b4))
    SOTA
    BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersarXiv:2203.17270
  • Bird's-Eye View Semantic SegmentationonLyft Level 5
    IoU vehicle - 224x480 - Short· 2022-03-31
    69.9
    best: 72.6 (PointBeV (EfficientNet-b4))
    SOTA
    BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal TransformersarXiv:2203.17270