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 691700 of 1576 papers

TitleStatusHype
Curricular Object Manipulation in LiDAR-based Object DetectionCode1
Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection0
Geometric-aware Pretraining for Vision-centric 3D Object DetectionCode3
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object DetectionCode1
BugNIST -- a Large Volumetric Dataset for Object Detection under Domain Shift0
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene GenerationCode0
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver0
VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object DetectionCode1
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth EstimationCode2
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving0
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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