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3D Object Detection On Nuscenes Camera Only

Métriques

Future Frame

NDS

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Future Frame	NDS	Paper Title	Repository
Far3D	false	68.7	Far3D: Expanding the Horizon for Surround-view 3D Object Detection	-
BEVDet4D	false	56.9	BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection	-
CAPE	false	62.8	CAPE: Camera View Position Embedding for Multi-View 3D Object Detection	-
BEVDepth-pure	false	60.9	BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection	-
PETRv2-pure	false	59.2	PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images	-
SA-BEV	false	62.4	SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection	-
SOLOFusion-pure	false	61.9	Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection	-
StreamPETR-Large	false	67.6	Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection	-
HoP	yes	68.5	Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction	-
BEVStereo	false	61.0	BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo	-
RayDN	false	68.6	Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection	-
BEVDistill	false	59.4	BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection	-
PolarFormer	false	57.2	PolarFormer: Multi-camera 3D Object Detection with Polar Transformer	-
SparseBEV (V2-99)	yes	67.5	SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos	-
GeoBEV (V2-99)	false	66.2	GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection	-
BEVFormer v2 (InternImage-XL)	yes	63.4	BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision	-
VCD-A	false	67.2	Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection	-
SeaBird	false	59.7	SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects	-
BEVFormer	false	56.9	BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers	-

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3D Object Detection On Nuscenes Camera Only | SOTA | HyperAI