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 461470 of 1576 papers

TitleStatusHype
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D DetectionCode0
MonoLSS: Learnable Sample Selection For Monocular 3D DetectionCode1
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object DetectionCode1
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis0
LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
Language-Assisted 3D Scene Understanding0
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object DetectionCode1
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V0
Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion0
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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