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 12611270 of 1576 papers

TitleStatusHype
Dimension Embeddings for Monocular 3D Object Detection0
LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task0
SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection0
PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving0
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds0
Revisiting 3D Object Detection From an Egocentric Perspective0
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection0
Embracing Single Stride 3D Object Detector with Sparse Transformer0
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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