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 611620 of 1576 papers

TitleStatusHype
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar0
Improving Online Lane Graph Extraction by Object-Lane Clustering0
MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection0
RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object DetectionCode1
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving0
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning0
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection0
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality0
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-LabelingCode1
KECOR: Kernel Coding Rate Maximization for Active 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