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 141150 of 1576 papers

TitleStatusHype
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionCode2
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object DetectionCode2
Fully Test-Time Adaptation for Monocular 3D Object DetectionCode2
Fully Sparse 3D Object DetectionCode2
Generative Sparse Detection Networks for 3D Single-shot Object DetectionCode2
LISO: Lidar-only Self-Supervised 3D Object DetectionCode2
Is Your LiDAR Placement Optimized for 3D Scene Understanding?Code2
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving DataCode2
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object DetectionCode2
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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