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

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Showing 1026–1050 of 1576 papers

TitleStatusHype
ESGN: Efficient Stereo Geometry Network for Fast 3D Object Detection—0
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection—0
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery—0
Embracing Single Stride 3D Object Detector with Sparse Transformer—0
EMMA: End-to-End Multimodal Model for Autonomous Driving—0
Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis—0
End-to-End 3D Object Detection using LiDAR Point Cloud—0
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds—0
Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection—0
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis—0
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding—0
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection—0
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving—0
Every Dataset Counts: Scaling up Monocular 3D Object Detection with Joint Datasets Training—0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization—0
EVT: Efficient View Transformation for Multi-Modal 3D Object Detection—0
Expandable YOLO: 3D Object Detection from RGB-D Images—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Exploring 2D Data Augmentation for 3D Monocular Object Detection—0
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—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
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified