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

Showing 11011110 of 1576 papers

TitleStatusHype
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection0
Embracing Single Stride 3D Object Detector with Sparse Transformer0
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object DetectionCode1
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection0
Real-time Collision Risk Estimation based on Stochastic Reachability SpacesCode0
SoK: Vehicle Orientation Representations for Deep Rotation EstimationCode1
Behind the Curtain: Learning Occluded Shapes for 3D Object DetectionCode1
SGM3D: Stereo Guided Monocular 3D Object DetectionCode1
Open-set 3D Object Detection0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified