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

Showing 661670 of 1576 papers

TitleStatusHype
SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving0
SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object DetectionCode1
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point CloudsCode2
3D Small Object Detection with Dynamic Spatial PruningCode1
OctFormer: Octree-based Transformers for 3D Point CloudsCode2
Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene FlowCode1
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene UnderstandingCode2
TransCAR: Transformer-based Camera-And-Radar Fusion for 3D Object Detection0
InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensors0
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
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Benchmark Results

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