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 871–880 of 1576 papers

TitleStatusHype
A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection—0
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection—0
A Survey for Foundation Models in Autonomous Driving—0
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects—0
A Survey of Robust 3D Object Detection Methods in Point Clouds—0
A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection—0
A two-stage data association approach for 3D Multi-object Tracking—0
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth—0
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object 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