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Models/MGTANet

MGTANet

Reported on 42 benchmarks across 6 tasks · 1 paper

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

Methodology28 results

  • 3DonnuScenes
    NDS· 2022-12-01
    0.73
    best: 55.3 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3DonnuScenes
    mAAE· 2022-12-01
    0.12
    best: 1 (BirdNet+ (multisweep))
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3DonnuScenes
    mAOE· 2022-12-01
    0.31
    best: 1.6 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3DonnuScenes
    mAP· 2022-12-01
    0.67
    best: 45.1 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3DonnuScenes
    mASE· 2022-12-01
    0.23
    best: 1 (qww)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3DonnuScenes
    mATE· 2022-12-01
    0.25
    best: 1.06 (3D-GCK)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3DonnuScenes
    mAVE· 2022-12-01
    0.19
    best: 2.21 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D ClassificationonnuScenes
    NDS· 2022-12-01
    0.73
    best: 55.3 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D ClassificationonnuScenes
    mAAE· 2022-12-01
    0.12
    best: 1 (BirdNet+ (multisweep))
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D ClassificationonnuScenes
    mAOE· 2022-12-01
    0.31
    best: 1.6 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D ClassificationonnuScenes
    mAP· 2022-12-01
    0.67
    best: 45.1 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D ClassificationonnuScenes
    mASE· 2022-12-01
    0.23
    best: 1 (qww)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D ClassificationonnuScenes
    mATE· 2022-12-01
    0.25
    best: 1.06 (3D-GCK)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D ClassificationonnuScenes
    mAVE· 2022-12-01
    0.19
    best: 2.21 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D Object DetectiononnuScenes
    NDS· 2022-12-01
    0.73
    best: 55.3 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D Object DetectiononnuScenes
    mAAE· 2022-12-01
    0.12
    best: 1 (BirdNet+ (multisweep))
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D Object DetectiononnuScenes
    mAOE· 2022-12-01
    0.31
    best: 1.6 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D Object DetectiononnuScenes
    mAP· 2022-12-01
    0.67
    best: 45.1 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D Object DetectiononnuScenes
    mASE· 2022-12-01
    0.23
    best: 1 (qww)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D Object DetectiononnuScenes
    mATE· 2022-12-01
    0.25
    best: 1.06 (3D-GCK)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 2D Object DetectiononnuScenes
    mAVE· 2022-12-01
    0.19
    best: 2.21 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 16konnuScenes
    NDS· 2022-12-01
    0.73
    best: 55.3 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 16konnuScenes
    mAAE· 2022-12-01
    0.12
    best: 1 (BirdNet+ (multisweep))
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 16konnuScenes
    mAOE· 2022-12-01
    0.31
    best: 1.6 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 16konnuScenes
    mAP· 2022-12-01
    0.67
    best: 45.1 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 16konnuScenes
    mASE· 2022-12-01
    0.23
    best: 1 (qww)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 16konnuScenes
    mATE· 2022-12-01
    0.25
    best: 1.06 (3D-GCK)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 16konnuScenes
    mAVE· 2022-12-01
    0.19
    best: 2.21 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442

Computer Vision14 results

  • Object DetectiononnuScenes
    NDS· 2022-12-01
    0.73
    best: 55.3 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • Object DetectiononnuScenes
    mAAE· 2022-12-01
    0.12
    best: 1 (BirdNet+ (multisweep))
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • Object DetectiononnuScenes
    mAOE· 2022-12-01
    0.31
    best: 1.6 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • Object DetectiononnuScenes
    mAP· 2022-12-01
    0.67
    best: 45.1 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • Object DetectiononnuScenes
    mASE· 2022-12-01
    0.23
    best: 1 (qww)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • Object DetectiononnuScenes
    mATE· 2022-12-01
    0.25
    best: 1.06 (3D-GCK)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • Object DetectiononnuScenes
    mAVE· 2022-12-01
    0.19
    best: 2.21 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3D Object DetectiononnuScenes
    NDS· 2022-12-01
    0.73
    best: 55.3 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3D Object DetectiononnuScenes
    mAAE· 2022-12-01
    0.12
    best: 1 (BirdNet+ (multisweep))
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3D Object DetectiononnuScenes
    mAOE· 2022-12-01
    0.31
    best: 1.6 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3D Object DetectiononnuScenes
    mAP· 2022-12-01
    0.67
    best: 45.1 (LabelDistill)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3D Object DetectiononnuScenes
    mASE· 2022-12-01
    0.23
    best: 1 (qww)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3D Object DetectiononnuScenes
    mATE· 2022-12-01
    0.25
    best: 1.06 (3D-GCK)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442
  • 3D Object DetectiononnuScenes
    mAVE· 2022-12-01
    0.19
    best: 2.21 (PointNet)
    MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object DetectionarXiv:2212.00442