| Paper | Code | AP0.5 (Perfect) | AP0.7 (Perfect) | AP0.5 (Noisy) | AP0.7 (Noisy) | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer | ✓ Link | 0.882 | 0.712 | 0.836 | 0.614 | V2X-ViT | 2022-03-20 |
| V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network | ✓ Link | 0.855 | 0.724 | V2X-AHD | 2023-10-10 | ||
| V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction | ✓ Link | 0.845 | 0.677 | 0.791 | 0.493 | V2VNet | 2020-08-17 |
| Learning Distilled Collaboration Graph for Multi-Agent Perception | ✓ Link | 0.844 | 0.695 | 0.798 | 0.541 | DiscoNet | 2021-11-01 |
| F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds | ✓ Link | 0.840 | 0.680 | 0.715 | 0.469 | F-Cooper | 2019-09-13 |
| OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication | ✓ Link | 0.807 | 0.664 | 0.709 | 0.487 | AttentiveFusion | 2021-09-16 |