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 15111520 of 1576 papers

TitleStatusHype
DenseFusion: 6D Object Pose Estimation by Iterative Dense FusionCode0
3D Object Detection Using Scale Invariant and Feature Reweighting Networks0
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous DrivingCode1
3D-SIS: 3D Semantic Instance Segmentation of RGB-D ScansCode0
PointPillars: Fast Encoders for Object Detection from Point CloudsCode2
IPOD: Intensive Point-based Object Detector for Point Cloud0
PointRCNN: 3D Object Proposal Generation and Detection from Point CloudCode1
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point CloudCode1
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape0
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data0
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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