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 861–870 of 1576 papers

TitleStatusHype
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds—0
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images—0
An Overview Of 3D Object Detection—0
Anytime-Lidar: Deadline-aware 3D Object Detection—0
Anyview: Generalizable Indoor 3D Object Detection with Variable Frames—0
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
A Review of 3D Object Detection with Vision-Language Models—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