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 241250 of 1576 papers

TitleStatusHype
MonoLSS: Learnable Sample Selection For Monocular 3D DetectionCode1
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object DetectionCode1
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object DetectionCode1
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object DetectionCode1
Mono3DVG: 3D Visual Grounding in Monocular ImagesCode1
Weakly Supervised 3D Object Detection via Multi-Level Visual GuidanceCode1
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated VehiclesCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified