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 13011310 of 1576 papers

TitleStatusHype
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D ScenesCode1
Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation0
GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous VehiclesCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises LossCode0
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
Multi-View Adaptive Fusion Network for 3D Object DetectionCode1
An Overview Of 3D Object Detection0
Stereo Frustums: A Siamese Pipeline for 3D Object Detection0
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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