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 501510 of 1576 papers

TitleStatusHype
VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth ReconstructionCode1
Back-tracing Representative Points for Voting-based 3D Object Detection in Point CloudsCode1
Geometry-based Distance Decomposition for Monocular 3D Object DetectionCode1
CoCoNets: Continuous Contrastive 3D Scene RepresentationsCode1
Multimodal Object Detection via Probabilistic EnsemblingCode1
Objects are Different: Flexible Monocular 3D Object DetectionCode1
HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object DetectionCode1
Group-Free 3D Object Detection via TransformersCode1
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object DetectionCode1
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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