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 14111420 of 1576 papers

TitleStatusHype
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial RelationshipsCode1
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection0
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single ImageCode1
Deep Learning on Radar Centric 3D Object Detection0
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint EstimationCode1
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection0
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation0
3D Object Detection on Point Clouds using Local Ground-aware and Adaptive Representation of scenes' surface0
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving0
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
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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