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 10911100 of 1576 papers

TitleStatusHype
Point Cloud Pre-Training With Natural 3D StructuresCode1
Dimension Embeddings for Monocular 3D Object Detection0
LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection0
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar NetworkCode1
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection0
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving0
BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-ViewCode2
EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object DetectionCode1
Revisiting 3D Object Detection From an Egocentric Perspective0
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds0
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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