3D Object Detection on V2XSet

36개 결과 · ⬇ CSV · JSON

AP0.5 (Perfect)

Rank	Model	AP0.5 (Perfect)	AP0.7 (Perfect)	AP0.5 (Noisy)	AP0.7 (Noisy)	Paper	Code	Year
1	V2X-ViT	0.882	0.712	0.836	0.614	V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer	DerrickXuNu/v2x-vit	2022
2	V2X-AHD	0.855	0.724	–	–	V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network	feeling0414-lab/V2X-AHD	2023
3	V2VNet	0.845	0.677	0.791	0.493	V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction	DerrickXuNu/OpenCOOD · coperception/coperception · taco-group/stamp	2020
4	DiscoNet	0.844	0.695	0.798	0.541	Learning Distilled Collaboration Graph for Multi-Agent Perception	coperception/coperception · ai4ce/DiscoNet	2021
5	F-Cooper	0.840	0.680	0.715	0.469	F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds	DerrickXuNu/OpenCOOD	2019
6	AttentiveFusion	0.807	0.664	0.709	0.487	OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication	DerrickXuNu/OpenCOOD · zhyings/cbm	2021
7	V2X-ViT	0.882	0.712	0.836	0.614	V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer	DerrickXuNu/v2x-vit	2022
8	V2X-AHD	0.855	0.724	–	–	V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network	feeling0414-lab/V2X-AHD	2023
9	V2VNet	0.845	0.677	0.791	0.493	V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction	DerrickXuNu/OpenCOOD · coperception/coperception · taco-group/stamp	2020
10	DiscoNet	0.844	0.695	0.798	0.541	Learning Distilled Collaboration Graph for Multi-Agent Perception	coperception/coperception · ai4ce/DiscoNet	2021
11	F-Cooper	0.840	0.680	0.715	0.469	F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds	DerrickXuNu/OpenCOOD	2019
12	AttentiveFusion	0.807	0.664	0.709	0.487	OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication	DerrickXuNu/OpenCOOD · zhyings/cbm	2021
13	V2X-ViT	0.882	0.712	0.836	0.614	V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer	DerrickXuNu/v2x-vit	2022
14	V2X-AHD	0.855	0.724	–	–	V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network	feeling0414-lab/V2X-AHD	2023
15	V2VNet	0.845	0.677	0.791	0.493	V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction	DerrickXuNu/OpenCOOD · coperception/coperception · taco-group/stamp	2020
16	DiscoNet	0.844	0.695	0.798	0.541	Learning Distilled Collaboration Graph for Multi-Agent Perception	coperception/coperception · ai4ce/DiscoNet	2021
17	F-Cooper	0.840	0.680	0.715	0.469	F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds	DerrickXuNu/OpenCOOD	2019
18	AttentiveFusion	0.807	0.664	0.709	0.487	OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication	DerrickXuNu/OpenCOOD · zhyings/cbm	2021
19	V2X-ViT	0.882	0.712	0.836	0.614	V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer	DerrickXuNu/v2x-vit	2022
20	V2X-AHD	0.855	0.724	–	–	V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network	feeling0414-lab/V2X-AHD	2023