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 14911500 of 1576 papers

TitleStatusHype
Deep Optics for Monocular Depth Estimation and 3D Object Detection0
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning ModelsCode0
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds0
Objects as PointsCode2
Monocular 3D Object Detection Leveraging Accurate Proposals and Shape ReconstructionCode0
MVX-Net: Multimodal VoxelNet for 3D Object Detection0
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving0
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds0
nuScenes: A multimodal dataset for autonomous drivingCode2
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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