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 9911000 of 1576 papers

TitleStatusHype
Voxel Field Fusion for 3D Object DetectionCode1
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object DetectionCode1
Towards Efficient 3D Object Detection with Knowledge DistillationCode1
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object DetectionCode1
Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving0
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingCode2
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images0
BEVFusion: A Simple and Robust LiDAR-Camera Fusion FrameworkCode2
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View RepresentationCode4
Structure Aware and Class Balanced 3D Object Detection on nuScenes Dataset0
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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