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 501510 of 1576 papers

TitleStatusHype
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherCode1
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
Physical Attack on Monocular Depth Estimation with Optimal Adversarial PatchesCode1
Pillar-based Object Detection for Autonomous DrivingCode1
Far3D: Expanding the Horizon for Surround-view 3D Object DetectionCode1
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object DetectionCode1
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
Point Cloud Self-supervised Learning via 3D to Multi-view Masked AutoencoderCode1
Show:102550
← PrevPage 51 of 158Next →

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