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 831840 of 1576 papers

TitleStatusHype
Enabling 3D Object Detection with a Low-Resolution LiDAR0
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection0
3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection0
A 3D Object Detection and Pose Estimation Pipeline Using RGB-D Images0
AA3DNet: Attention Augmented Real Time 3D Object Detection0
Accelerating Federated Edge Learning via Topology Optimization0
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?0
Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning0
Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving0
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified