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 14811490 of 1576 papers

TitleStatusHype
Multimodal 3D Object Detection from Simulated PretrainingCode0
Monocular Plan View Networks for Autonomous Driving0
Monocular 3D Object Detection via Geometric Reasoning on Keypoints0
Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds0
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle PerceptionCode1
Deep Fitting Degree Scoring Network for Monocular 3D Object Detection0
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation0
Transferable Semi-supervised 3D Object Detection from RGB-D Data0
DirectShape: Direct Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation0
Deep Hough Voting for 3D Object Detection in Point CloudsCode1
Show:102550
← PrevPage 149 of 158Next →

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