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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–875 of 1576 papers

TitleStatusHype
A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes—0
A General Pipeline for 3D Detection of Vehicles—0
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network—0
A Hierarchical Graph Network for 3D Object Detection on Point Clouds—0
ALCN: Adaptive Local Contrast Normalization—0
A Light Perspective for 3D Object Detection—0
An Empirical Analysis of Range for 3D Object Detection—0
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection—0
A New Adversarial Perspective for LiDAR-based 3D Object Detection—0
Angle Based Feature Learning in GNN for 3D Object Detection using Point Cloud—0
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds—0
An Online Semantic Mapping System for Extending and Enhancing Visual SLAM—0
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations—0
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images—0
An Overview Of 3D Object Detection—0
Anytime-Lidar: Deadline-aware 3D Object Detection—0
Anyview: Generalizable Indoor 3D Object Detection with Variable Frames—0
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
A Review of 3D Object Detection with Vision-Language Models—0
A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection—0
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection—0
A Survey for Foundation Models in Autonomous Driving—0
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects—0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified