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 771780 of 1576 papers

TitleStatusHype
LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection0
3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion0
3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image0
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving0
Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection0
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion0
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation0
M^2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation0
M^2SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors0
DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection0
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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