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 10211030 of 1576 papers

TitleStatusHype
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds0
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion0
GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection0
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithmsCode0
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection0
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection0
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted DataCode0
Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization0
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio MaskingCode0
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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