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 751760 of 1576 papers

TitleStatusHype
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences0
Feature Compression for Cloud-Edge Multimodal 3D Object Detection0
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent DrivingCode0
Decoupled and Interactive Regression Modeling for High-performance One-stage 3D Object Detection0
Study of Dropout in PointPillars with 3D Object Detection0
CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection0
RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis0
Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection0
BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization0
HEAD: A Bandwidth-Efficient Cooperative Perception Approach for Heterogeneous Connected and Autonomous Vehicles0
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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