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Models/F-Cooper (PointPillar backbone)

F-Cooper (PointPillar backbone)

Reported on 12 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Methodology8 results

3DonOPV2V
AP@0.7@CulverCity· 2019-09-13
0.728
best: 0.735 (Attentive Fusion (PointPillar backbone))
SOTA
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
2D ClassificationonOPV2V
AP@0.7@CulverCity· 2019-09-13
0.728
best: 0.735 (Attentive Fusion (PointPillar backbone))
SOTA
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
2D Object DetectiononOPV2V
AP@0.7@CulverCity· 2019-09-13
0.728
best: 0.735 (Attentive Fusion (PointPillar backbone))
SOTA
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
16konOPV2V
AP@0.7@CulverCity· 2019-09-13
0.728
best: 0.735 (Attentive Fusion (PointPillar backbone))
SOTA
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
3DonOPV2V
AP@0.7@Default· 2019-09-13
0.79
best: 0.822 (V2VNet (PointPillar backbone))
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
2D ClassificationonOPV2V
AP@0.7@Default· 2019-09-13
0.79
best: 0.822 (V2VNet (PointPillar backbone))
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
2D Object DetectiononOPV2V
AP@0.7@Default· 2019-09-13
0.79
best: 0.822 (V2VNet (PointPillar backbone))
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
16konOPV2V
AP@0.7@Default· 2019-09-13
0.79
best: 0.822 (V2VNet (PointPillar backbone))
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459

Computer Vision4 results

Object DetectiononOPV2V
AP@0.7@CulverCity· 2019-09-13
0.728
best: 0.735 (Attentive Fusion (PointPillar backbone))
SOTA
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
3D Object DetectiononOPV2V
AP@0.7@CulverCity· 2019-09-13
0.728
best: 0.735 (Attentive Fusion (PointPillar backbone))
SOTA
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
Object DetectiononOPV2V
AP@0.7@Default· 2019-09-13
0.79
best: 0.822 (V2VNet (PointPillar backbone))
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459
3D Object DetectiononOPV2V
AP@0.7@Default· 2019-09-13
0.79
best: 0.822 (V2VNet (PointPillar backbone))
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds arXiv:1909.06459