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 12311240 of 1576 papers

TitleStatusHype
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object DetectionCode1
3D-MAN: 3D Multi-frame Attention Network for Object Detection0
Delving into Localization Errors for Monocular 3D Object DetectionCode1
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object DetectionCode1
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point CloudCode1
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection0
Resonant Scanning Design and Control for Fast Spatial SamplingCode0
M3DSSD: Monocular 3D Single Stage Object DetectorCode1
X-view: Non-egocentric Multi-View 3D Object Detector0
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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