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 10111020 of 1576 papers

TitleStatusHype
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection0
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
Rotationally Equivariant 3D Object Detection0
TJ4DRadSet: A 4D Radar Dataset for Autonomous DrivingCode2
Focal Sparse Convolutional Networks for 3D Object DetectionCode2
PolyLoss: A Polynomial Expansion Perspective of Classification Loss FunctionsCode1
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection0
Spatiality-guided Transformer for 3D Dense Captioning on Point CloudsCode1
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles0
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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