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 621630 of 1576 papers

TitleStatusHype
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection0
Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object DetectionCode1
SUIT: Learning Significance-guided Information for 3D Temporal Detection0
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
Spatial-Temporal Graph Enhanced DETR Towards Multi-Frame 3D Object DetectionCode1
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
Tame a Wild Camera: In-the-Wild Monocular Camera CalibrationCode1
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection0
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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