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 1241–1250 of 1576 papers

TitleStatusHype
A Survey of Robust 3D Object Detection Methods in Point Clouds—0
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation—0
ImpDet: Exploring Implicit Fields for 3D Object Detection—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection—0
CVFNet: Real-time 3D Object Detection by Learning Cross View Features—0
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM—0
A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation—0
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection—0
DisARM: Displacement Aware Relation Module for 3D Detection—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