Object Detection on OPV2V

Metric: AP@0.7@Default (higher is better)

LeaderboardDataset

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#	Model↕	AP@0.7@Default▼	Extra Data	Paper	Date↕	Code
1	V2VNet (PointPillar backbone)	0.822	No	V2VNet: Vehicle-to-Vehicle Communication for Joi...	2020-08-17	Code
2	Attentive Fusion (PointPillar backbone)	0.815	No	OPV2V: An Open Benchmark Dataset and Fusion Pipe...	2021-09-16	Code
3	Cooper (PointPillar backbone)	0.8	No	Cooper: Cooperative Perception for Connected Aut...	2019-05-13	Code
4	F-Cooper (PointPillar backbone)	0.79	No	F-Cooper: Feature based Cooperative Perception f...	2019-09-13	Code
5	Late Fusion (PointPillar backbone)	0.781	No	OPV2V: An Open Benchmark Dataset and Fusion Pipe...	2021-09-16	Code

#1V2VNet (PointPillar backbone)SOTA
0.822
AP@0.7@Default· 2020-08-17
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction Code
#2Attentive Fusion (PointPillar backbone)
0.815
AP@0.7@Default· 2021-09-16
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication Code
#3Cooper (PointPillar backbone)SOTA
0.8
AP@0.7@Default· 2019-05-13
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds Code
#4F-Cooper (PointPillar backbone)
0.79
AP@0.7@Default· 2019-09-13
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds Code
#5Late Fusion (PointPillar backbone)
0.781
AP@0.7@Default· 2021-09-16
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication Code