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 14211430 of 1576 papers

TitleStatusHype
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors0
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds0
SS3D: Single Shot 3D Object Detector0
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud0
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds0
Learning to Evaluate Perception Models Using Planner-Centric Metrics0
ALCN: Adaptive Local Contrast Normalization0
Quantifying Data Augmentation for LiDAR based 3D Object Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified