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 10011010 of 1576 papers

TitleStatusHype
Robust 3D Object Detection in Cold Weather Conditions0
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications0
Towards Model Generalization for Monocular 3D Object Detection0
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D DetectionCode1
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous DrivingCode2
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection0
PillarNet: Real-Time and High-Performance Pillar-based 3D Object DetectionCode2
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
Multi-Class 3D Object Detection with Single-Class Supervision0
Surface Representation for Point CloudsCode2
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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