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 15011510 of 1576 papers

TitleStatusHype
GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving0
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudCode0
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving0
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object DetectionCode0
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes0
DPOD: 6D Pose Object Detector and RefinerCode0
Stereo R-CNN based 3D Object Detection for Autonomous DrivingCode0
PIXOR: Real-time 3D Object Detection from Point CloudsCode1
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Three-dimensional Backbone Network for 3D Object Detection in Traffic ScenesCode0
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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