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 14411450 of 1576 papers

TitleStatusHype
Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus0
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models0
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation0
Shape-Aware Monocular 3D Object Detection0
Shape Prior Non-Uniform Sampling Guided Real-time Stereo 3D Object Detection0
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints0
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection0
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline0
SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection0
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time0
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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