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 14611470 of 1576 papers

TitleStatusHype
Fast Point R-CNN0
Warp and Learn: Novel Views Generation for Vehicles and Other ObjectsCode0
STD: Sparse-to-Dense 3D Object Detector for Point Cloud0
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation0
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation NetworkCode1
Point-Voxel CNN for Efficient 3D Deep LearningCode0
Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds0
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss0
Attentional PointNet for 3D-Object Detection in Point CloudsCode0
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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