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

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Showing 911–920 of 1576 papers

TitleStatusHype
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection—0
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving—0
CARLA Drone: Monocular 3D Object Detection from a Different Perspective—0
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection—0
CatFree3D: Category-agnostic 3D Object Detection with Diffusion—0
Center3D: Center-based Monocular 3D Object Detection with Joint Depth Understanding—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar—0
Cirrus: A Long-range Bi-pattern LiDAR Dataset—0
Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified