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 13811390 of 1576 papers

TitleStatusHype
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection0
Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection0
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles0
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection0
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection0
3D Object Detection and Tracking Based on Streaming Data0
A Density-Aware PointRCNN for 3D Object Detection in Point Clouds0
Adjusting Bias in Long Range Stereo Matching: A semantics guided approach0
RoIFusion: 3D Object Detection from LiDAR and Vision0
Reinforced Axial Refinement Network for Monocular 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