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 741750 of 1576 papers

TitleStatusHype
UniBEVFusion: Unified Radar-Vision BEVFusion for 3D Object Detection0
TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection0
Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation0
Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention0
Semi-Supervised 3D Object Detection with Channel Augmentation using Transformation Equivariance0
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point CloudsCode0
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object DetectionCode0
RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network0
Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative PerceptionCode0
Multi-scale Feature Fusion with Point Pyramid for 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