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 841–850 of 1576 papers

TitleStatusHype
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
ActFormer: Scalable Collaborative Perception via Active Queries—0
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection—0
Adapting Object Detectors with Conditional Domain Normalization—0
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection—0
AdaptiveShape: Solving Shape Variability for 3D Object Detection with Geometry Aware Anchor Distributions—0
A Density-Aware PointRCNN for 3D Object Detection in Point Clouds—0
Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF—0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey—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