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3D Object Detection On Waymo Vehicle

Metriken

L1 mAP

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	L1 mAP	Paper Title	Repository
VoTr-TSD	74.95	Voxel Transformer for 3D Object Detection	-
SST	-	Embracing Single Stride 3D Object Detector with Sparse Transformer	-
Pyramid-PV	-	Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection	-
M3DeTR	77.66	M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers	-
CenterFormer	-	CenterFormer: Center-based Transformer for 3D Object Detection	-
PV-RCNN	-	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection	-
DSVT(val)	82.1	DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets	-
PillarNeXt	-	PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds	-

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3D Object Detection On Waymo Vehicle | SOTA | HyperAI