SOTAVerified

3D Object Detection

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

( Image credit: AVOD )

Papers

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Showing 1321–1330 of 1576 papers

TitleStatusHype
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector—0
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving—0
Information Entropy Guided Height-aware Histogram for Quantization-friendly Pillar Feature Encoder—0
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram—0
PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model—0
PillarNeSt: Embracing Backbone Scaling and Pretraining for Pillar-based 3D Object Detection—0
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module—0
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection—0
PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest—0
PointAugmenting: Cross-Modal Augmentation for 3D Object Detection—0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified